Altss vs PitchBook
PitchBook is the industry standard for deal and company data — a Morningstar subsidiary with 3,000+ employees and 100,000+ clients. Altss is an OSINT-native allocator-intelligence platform: verified family-office and institutional-LP data and a live 35M+ company dataset (expanding to 70M+ in Q3 2026), plus a built-in CRM, AI-assisted outreach, a research copilot, an inbox with a meeting notetaker, Scouter, events intelligence, and a relationship graph — built for fund managers raising from family offices and institutional allocators. This page covers where each wins, honestly.
- 9,000+
- Family offices in Altss database
- 150,000+
- Institutional LP entities
- 35M+
- Companies & startups live (≈3x PitchBook; expanding to 70M+ in Q3 2026)
- 30 days
- Full database re-verification cycle
#At-a-glance comparison
| Dimension | Altss | PitchBook |
|---|---|---|
| Founded | 2025 | 2007 (Morningstar subsidiary since 2016)8 |
| Scale | Lean 11-person OSINT-first team | 100,000+ clients, 3,000+ employees globally3 |
| Primary use case | LP intelligence for fundraising | Deal and company data for sourcing investments |
| Family office coverage | 9,000+ global family offices10 | Limited — not PitchBook's primary dataset |
| Institutional LP coverage | 150,000+ institutional entities with current mandates10 | 56,000+ limited partners (per PitchBook's May 2025 data snapshot)2 |
| Company coverage | Live 35M+ companies (≈3x PitchBook), expanding to 70M+ in Q3 202610 | 11.9M companies (per PitchBook homepage, April 2026)1 |
| Deal data | Not provided — Altss focuses on allocator and company data, not deal records | 3M deals (per PitchBook homepage, April 2026)1 |
| Investor coverage | 150,000+ institutional entities (LP-focused) | 621K investors (per PitchBook homepage, April 2026)1 |
| Fund coverage | Fund-level LP commitments and mandate data | 161K funds (per PitchBook homepage, April 2026)1 |
| People data | 1.5M+ verified LP-side contacts | 4.4M+ people (per PitchBook May 2025 snapshot)2 |
| Data operations team | OSINT + AI-assisted verification | 1,800+ data operations professionals4; 60+ research analysts5 |
| Data collection method | OSINT (open-source intelligence) with source evidence attached to every record | Surveys, regulatory filings, FOIA responses, 1M+ news events weekly, 1M+ web crawlers, D&B partnership |
| Data refresh cycle | 30-day full re-verification; continually updated allocator signals | Multiple daily updates for deal news; 3–4 month company-level refresh reported by users |
| Email verification | Bounce-checked before records appear | Self-reported and scraped; error rates on email extraction are a common user complaint |
| Allocator signals | Yes — mandate shifts, personnel changes, event participation, surfaced as they become publicly observable | Deal and transaction signals strong; allocator behavior signals weaker |
| Workflow tooling | Built-in CRM and pipeline, AI-assisted outreach, a research copilot, an inbox with a meeting notetaker, Scouter, events and conference intelligence, and a relationship graph | Database plus external CRM integrations (Salesforce, HubSpot, DealCloud); no native CRM, outreach, or notetaker |
| Fund performance benchmarking | Not provided | Best-in-class — fund-level IRR, TVPI, DPI data with vintage benchmarks |
| AI features | OSINT pipeline + AI-assisted enrichment, a research copilot, and AI-assisted outreach | PitchBook Navigator AI (Nov 2025)6; Premium Connector for Claude and ChatGPT Enterprise; Perplexity MCP server (2026)7 |
| Pricing | Custom enterprise pricing, scoped to team size and coverage tier. Reduced rates for emerging managers raising Fund I–III. | Sales-gated. Entry bundle from $30K minimum for 2+ seats; ~$7K per additional seat; Enterprise (10+ users) $45K–$70K+/yr9 |
| Best for | Fund managers raising from family offices and global LPs | Investment teams sourcing deals, LPs benchmarking funds, corporate M&A |
Coverage numbers reflect Altss internal database as of June 2026, including a live 35M+ company dataset expanding to 70M+ in Q3 2026. PitchBook figures sourced from PitchBook's own homepage at pitchbook.com (accessed April 2026) and PitchBook's May 2025 bi-annual data coverage snapshot. Pricing compiled from Vendr transaction data, TrustRadius customer reports, Failory, and independent pricing databases.
PitchBook has clear advantages in deal data, fund performance benchmarking, analyst research, and an extensive integration and AI ecosystem. Altss leads in family office coverage, company dataset scale (a live 35M+ companies, ≈3x PitchBook), OSINT methodology, allocator signals, and the workflow layer — a built-in CRM, AI-assisted outreach, a research copilot, an inbox with a meeting notetaker, Scouter, events intelligence, and a relationship graph. PitchBook is a database you query and export; Altss pairs that verified data and allocator signals with a full workflow — a built-in CRM, AI outreach, a research copilot, a meeting notetaker, and a relationship graph — in one platform. Where you spend most of your fundraising time determines which platform delivers more value.
#What is Altss?
Altss is an OSINT-native allocator-intelligence platform built for managers raising capital in alternative assets. The data layer is OSINT-powered: instead of relying on survey data, analyst-collected firm profiles, or scraped contact lists, Altss uses open-source intelligence — SEC filings (Form ADV, Form D, 13F), pension CAFRs, Form 990 and 990-PF for foundations, endowment annual reports, sovereign wealth fund disclosures, verified corporate registries, public news, and published allocator statements — to build verified profiles of 9,000+ family offices and 150,000+ institutional LP entities worldwide10.
Every record is verified before it reaches the platform. Emails are bounce-checked; if a mailbox cannot accept mail, the record never appears in the UI. The full database re-verifies on a rolling 30-day cycle, with faster updates for high-velocity signals like personnel changes, mandate shifts, and fund launches.
Around that data sits the workflow: a built-in CRM and pipeline, AI-assisted outreach, a research copilot, an inbox with a meeting notetaker, Scouter for investor discovery, events and conference intelligence, and a relationship graph. PitchBook is a database that pushes into external tools (Salesforce, HubSpot, DealCloud, Excel) to do the actual work; Altss pairs the data with a built-in CRM, AI outreach, a research copilot, and a meeting notetaker in one platform.
Altss now runs a live 35M+ companies dataset, expanding to 70M+ in Q3 2026 — roughly 3x PitchBook's 11.9M today and 6x at full scale. This completes the relationship graph — LPs → GPs → portfolio companies — on a single OSINT-native platform. For fund managers who previously ran a separate PitchBook subscription for company data alongside an LP database, Altss becomes a single source for both sides of the workflow.
#What is PitchBook?
PitchBook is a private capital markets data provider headquartered in Seattle, founded in 2007 and operating as a subsidiary of Morningstar since 2016 (acquired for $225M)8. The platform serves more than 100,000 clients worldwide and employs over 3,000 people3 across offices in Seattle, San Francisco, New York, London, Singapore, Mumbai, and other global locations.
Per PitchBook's own homepage marketing (pitchbook.com, April 2026)1, the platform covers:
PitchBook's May 2025 bi-annual data coverage snapshot added additional detail: 56,000+ limited partners, 4.4M+ people, 65,000+ private credit deals, and 2.7M investments2.
PitchBook's strength is breadth of financial data. The platform includes fund performance benchmarking, analyst research with direct consultation access (60+ analysts in the Institutional Research Group), public equity data on 110K+ companies, debt financings, and extensive integrations with CRM platforms (Salesforce, HubSpot, DealCloud), Excel, PowerPoint, Chrome, and AI platforms including PitchBook Navigator (launched November 2025), a Premium Connector for Claude and ChatGPT Enterprise, and a dedicated MCP server for Perplexity.
Data is sourced from surveys, regulatory filings, FOIA responses, 1M+ web crawlers, partnerships including Dun & Bradstreet, and over one million news events analyzed weekly. Deal and funding data refreshes multiple times daily; company-level profile data (headcount, descriptions, contact information) refreshes on what users report as a 3–4 month cycle. PitchBook is maintained by 1,800+ data operations professionals using 100+ proprietary processes, with 3.5M+ hours logged by the data ops team over the past 5 years.
#Coverage comparison
Company data
Altss runs a live 35M+ company dataset — roughly 3x PitchBook's 11.9M (per their live homepage)1 — expanding to 70M+ in Q3 2026, roughly 6x PitchBook at full scale. The Altss approach is OSINT-native — every record traceable to public sources — which differs fundamentally from PitchBook's mixed methodology of scraping, survey data, and analyst-curated profiles.
PitchBook still leads on the depth attached to each company: deal history, valuations, financing rounds, and cap-table participants. Altss's company layer is built for relationship mapping and sourcing context, not transaction-level deal records.
Deal data and valuations
PitchBook is the clear winner here. With 3M deals on their live homepage1, plus valuations, financing rounds, and M&A history going back to 2007, PitchBook is the default platform for deal sourcing, valuation comps, and transaction tracking. Altss does not track deals or valuations — its company layer adds relationship and sourcing context, not deal records.
Family office coverage
Altss leads decisively. PitchBook's family office coverage is a frequently cited gap: the platform was built around deal and company data, with LPs as a secondary dataset. Prospects switching to Altss consistently cite PitchBook's family office coverage as the switching reason.
Institutional LP coverage
Both platforms cover institutional LPs, but with different focuses. PitchBook has 56,000+ LPs and strong historical allocation data (per their May 2025 snapshot). Altss has 150,000+ institutional LP entities with current mandate, personnel, and allocation signals. For current targeting, Altss; for historical allocation research, PitchBook.
Email and contact data
This is the most frequent complaint against PitchBook from fund managers. Email error rates on extracted contact data mean campaigns run against PitchBook's LP contacts often bounce at unacceptable rates. Altss bounce-checks every email before it reaches the UI, so invalid mailboxes never surface.
Workflow: database vs. in-platform intelligence
The deeper difference is what sits around the data. PitchBook is a database — you query it, then push records into Salesforce, HubSpot, DealCloud, or Excel to actually run a process. Altss is an in-platform intelligence workspace: a built-in CRM and pipeline, AI-assisted outreach, a research copilot, an inbox with a meeting notetaker, Scouter for investor discovery, events and conference intelligence, and a relationship graph.
For a manager raising capital, that means targeting, research, outreach, meeting capture, and pipeline tracking happen in one place — rather than a database subscription plus a separate CRM, email tool, and notetaker stitched together.
#Data freshness
Altss
- 30-day full database re-verification cycle
- Continually updated on personnel changes, mandate shifts, and fund launches
- Every email is bounce-checked before appearing in the platform
- Every record is traceable to a public source with a verification timestamp
PitchBook
- Deal and funding news updated multiple times daily (1M+ news events analyzed weekly, 1M+ web crawlers)
- Company-level profile data (headcount, descriptions, contacts) refreshes on a 3–4 month cycle per user reports
- Survey + scraped + analyst-curated data model; no live email verification
- Personnel changes and mandate shifts surface through news analysis but depend on public disclosure
For deal news and headline M&A announcements, PitchBook is fresh. For the contact and mandate data that matters in fundraising outreach, Altss is materially fresher.
#Methodology: OSINT vs. mixed aggregation
PitchBook's approach: Mixed. PitchBook's own documentation cites data sources including survey requests, regulatory filings, FOIA responses, and analysis of 1M+ news events weekly, maintained by 1,800+ data operations professionals using 100+ proprietary processes. This model produces broad coverage across deals and companies with strong deal-news velocity, but produces inconsistent quality at the contact and allocator level, where currency depends heavily on whether the firm has proactively updated its profile. A key part of PitchBook's company dataset expansion came through its partnership with Dun & Bradstreet, adding companies with $1M+ in annual sales.
Altss's approach: OSINT-first. Altss treats LP and company intelligence as an open-source intelligence problem. Data is sourced from SEC filings (Form ADV, Form D, 13F), state pension CAFRs, Form 990 and 990-PF for foundations, endowment annual reports, sovereign wealth fund disclosures, verified corporate registries, public news, and published allocator statements. The live 35M+ companies dataset extends the same OSINT methodology to company data — every record traceable to its public source and timestamped.
The practical difference for fundraising: if a family office promoted a new head of investments last month, Altss picks it up within days via OSINT signals. In PitchBook, the same change might not appear until the firm proactively updates its profile — which many private family offices never do.
#Pricing
Altss
Altss typically comes in materially below PitchBook's $30K minimum multi-seat bundle for LP-focused fundraising workflows9. Three coverage tiers — Family Offices, Full LP, and Full LP + Companies — scoped to team size, seat count, and organization type. Reduced rates for emerging managers raising Fund I–III. Enterprise 5-seat packages and multi-year agreements across all tiers. Book a demo for a scoped quote.
PitchBook
PitchBook (sales-gated; figures compiled from Vendr, TrustRadius, Failory, and third-party pricing databases, 2026):
- Entry bundle: $30,000/year starting at 2+ seats minimum (no solo tier for most buyer segments)9
- Additional seats: approximately $7,000/year each, based on customer reports9
- Standard bundle for 3 users: approximately $24,000–$35,000/year depending on modules and contract9
- Enterprise (10+ users): $45,000–$70,000+/year depending on modules9
- API access and data feeds priced as paid add-ons (30–60% over base)
- Median customer spend per verified transaction data: approximately $30,875/year; average revenue per account: approximately $58,300/year9
Key pricing observation: PitchBook's entry point is a multi-seat bundle — $30K for 2+ seats, scaling to $70K+/year for enterprise deployments. For fundraising use cases, Altss typically comes in materially below PitchBook's list pricing. Teams once paid PitchBook's premium partly for company data alongside their LP database; with Altss now running a live 35M+ company dataset inside the same platform as the CRM, research, and AI outreach, more of that spend can consolidate onto fewer tools. Book a demo for pricing scoped to your team.
PitchBook pricing compiled from Vendr Marketplace transaction data, TrustRadius verified customer reports, Failory customer surveys, CostBench software pricing database, and RevPilots customer interviews. Accessed April 2026.
#Where PitchBook wins
Honest comparison requires honest acknowledgment. PitchBook has real strengths Altss does not replicate.
- 01
Fund performance benchmarking
PitchBook's IRR, TVPI, and DPI data across funds and vintages is best-in-class. If your workflow requires benchmarking specific fund returns against peers by vintage and strategy, PitchBook delivers what Altss does not.
- 02
Analyst research
PitchBook's Institutional Research Group — 60+ analysts — produces regular reports on PE, VC, credit, and industry-specific analysis. Direct analyst consultation access is included with enterprise tiers. Altss does not produce equivalent research.
- 03
Integration ecosystem
Excel, PowerPoint, Chrome extension, Salesforce, HubSpot, DealCloud, API, and PitchBook Navigator AI with connectors for Claude, ChatGPT Enterprise, and Perplexity. PitchBook's integration depth is mature and broad. Altss is UI-only by design.
- 04
Historical deal data depth
PitchBook has tracked deals since 2007 — nearly 20 years of transaction history with valuations, deal structures, and participant tracking. Altss's company dataset is new; historical depth will take time to build.
- 05
Public equity and credit data
PitchBook covers 110K+ public companies, 528K+ debt financings, 65,000+ private credit deals, and extensive credit markets data. Altss does not.
- 06
Cross-asset-class breadth
PE, VC, M&A, credit, real estate, infrastructure, secondaries. For multi-asset-class firms, PitchBook's breadth is a genuine advantage.
- 07
Morningstar infrastructure
Enterprise buyers value the stability that comes from Morningstar ownership, a 3,000+ person operation, and integration with Morningstar's broader financial data.
- 08
Brand and scale
100,000+ clients worldwide. When an investment team references "the industry standard" for deal data, they usually mean PitchBook.
- 09
Third-party LLM connectors
PitchBook Navigator (launched Nov 2025), a Claude/ChatGPT Premium Connector, and a Perplexity MCP server let external AI tools query PitchBook data. Altss has its own in-platform research copilot and AI outreach, but does not yet offer equivalent connectors into outside LLM products.
If your primary workflow is fund performance benchmarking, historical deal research, or accessing analyst reports — PitchBook delivers more than Altss today.
#Where Altss wins
- 01
Family office depth
9,000+ family offices globally vs. PitchBook's limited family office coverage. This is the single biggest reason fund managers switch for fundraising workflows.
- 02
Company & startup coverage scale
A live 35M+ companies dataset — including startups and VC-backed companies — roughly 3x PitchBook's 11.9M today, expanding to 70M+ in Q3 2026, roughly 6x at full scale. Altss does not match PitchBook's deal-level depth (deals, valuations, financing rounds), but on raw company and startup coverage it is now ahead.
- 03
Data others can't replicate — plus the workflow to act on it
PitchBook is a database that pushes records into Salesforce, HubSpot, DealCloud, or Excel to do the actual work. Altss ships the data with the workflow: a built-in CRM and pipeline, AI-assisted outreach, a research copilot, an inbox with a meeting notetaker, Scouter for investor discovery, events and conference intelligence, and a relationship graph. It brings targeting, research, CRM, outreach, and pipeline into one place — on top of OSINT data competitors can't match.
- 04
Data freshness on allocator contacts
30-day re-verification vs. PitchBook's 3–4 month company-level refresh per user reports. For active fundraising where current contacts matter, this is decisive.
- 05
OSINT methodology
Every record traces to a public source. No reliance on whether the LP has proactively submitted data or updated their PitchBook profile. This methodology extends to the live company dataset.
- 06
Email bounce-verification
Invalid emails never reach the UI. PitchBook users frequently cite email error rates as a campaign-breaking issue.
- 07
Allocator signals
Mandate shifts, personnel changes, fund launches, and event participation surface as they become publicly observable — not quarterly profile refreshes.
- 08
Purpose-built for fundraising, not sourcing
PitchBook was architected for deal teams. Altss was architected for GPs raising capital. The workflows reflect the difference.
- 09
Enterprise pricing with emerging manager accessibility
Altss is scoped to what your team actually needs — coverage tier, seat count, organization type. Reduced rates for Fund I–III. PitchBook pricing is sales-gated with a $30K minimum bundle for 2+ seats, scaling to $70K+/year for enterprise deployments.
- 10
Global family office coverage
Altss covers North American, European, Asian, and Middle Eastern family offices with comparable depth. PitchBook family office coverage skews US/EU.
- 11
Evidence and source linking
Every Altss record shows the public source behind each data point, with a verification date. PitchBook data does not cite sources at the record level.
#Full feature comparison
| Feature | Altss | PitchBook |
|---|---|---|
| Family office coverage | ✅ 9,000+ | ⚠️ Limited |
| Institutional LP coverage | ✅ 150,000+ entities | ✅ 56,000+ LPs (May 2025 snapshot) |
| Company coverage | ✅ Live 35M+ (≈3x; 70M+ in Q3 2026) | ✅ 11.9M (homepage, April 2026) |
| Deal data | ❌ Not tracked | ✅ 3M deals (homepage, April 2026) |
| Investor coverage | ✅ LP-focused (150K+) | ✅ 621K investors (homepage, April 2026) |
| Fund count | Fund-level LP data | ✅ 161K funds (homepage, April 2026) |
| Fund performance benchmarking | ❌ | ✅ Best-in-class (IRR, TVPI, DPI) |
| Analyst research access | ❌ | ✅ 60+ analysts (IRG) |
| 20 years historical deal data | ❌ | ✅ Since 2007 |
| Data refresh (LP contacts) | ✅ 30 days | ⚠️ 3–4 months |
| Deal news velocity | ❌ Not tracked | ✅ Multiple times daily |
| Mandate-shift signals | ✅ | ⚠️ News-derived |
| Email bounce-verification | ✅ | ❌ |
| OSINT source traceability | ✅ | ❌ |
| Evidence links per record | ✅ | ❌ |
| Personnel change tracking | ✅ Continually updated | ⚠️ Lagging |
| Event & conference intelligence | ✅ | ❌ |
| Built-in CRM & pipeline | ✅ Native | ❌ External integrations only (Salesforce, HubSpot, DealCloud) |
| AI-assisted outreach | ✅ | ❌ |
| Research copilot | ✅ | ⚠️ Navigator AI |
| Inbox + meeting notetaker | ✅ | ❌ |
| Browser extension | ❌ | ✅ Chrome (data lookup) |
| Relationship graph | ✅ | ⚠️ Data only, no workflow |
| Excel/PowerPoint plugins | ❌ | ✅ |
| API access | ❌ UI-only by design | ✅ Paid add-on |
| LLM integrations | ⚠️ Roadmap | ✅ Navigator, Claude, ChatGPT, Perplexity MCP |
| Public pricing | Enterprise, custom-scoped | ❌ Sales-gated |
| Credit/debt market data | ⚠️ Limited | ✅ 65,000+ private credit deals |
| Public equity coverage | ❌ | ✅ 110K+ public companies |
| Regulatory filing integration | ✅ Form ADV, Form D, 13F | ✅ |
| Global FO coverage depth | ✅ NA/EU/Asia/ME | ⚠️ Primarily US/EU |
| Emerging manager focus | ✅ | ❌ |
| Employee count | 11 (lean team) | 3,000+ globally |
| Client count | Private | 100,000+ |
| Starting price | Custom enterprise scoping | $30K minimum for 2+ seats |
| Parent company | Altss Inc. | Morningstar (since 2016, $225M acquisition) |
Comparison accurate as of June 2026. Altss coverage figures reflect internal database counts, including a live 35M+ company dataset expanding to 70M+ in Q3 2026. PitchBook figures: homepage numbers (11.9M companies, 3M deals, 621K investors, 161K funds) from pitchbook.com accessed April 2026; additional figures (56K LPs, 4.4M people, 65K credit deals) from PitchBook's May 2025 bi-annual data snapshot press release. Pricing compiled from Vendr, TrustRadius, Failory, and independent sources.
#What fund managers are saying
“PitchBook too slow for our use case. Data accuracy issues — 50–60% of people data wrong or outdated. We were manually verifying everything, which defeated the point of paying for a platform.”
“PitchBook's main gap for us is inconsistent family office data coverage. For institutional LPs it works — for the family office segment specifically, we had to layer on another tool.”
“Poor coverage of smaller family offices. That's the segment where capital is actually moving. We couldn't make PitchBook work for the fundraise.”
“30–40% email bounce rate on extracted contacts. In active outreach, that kills deliverability and kills campaigns. The verification layer in Altss solved this immediately.”
1–4 Testimonials reflect verified customer and prospect feedback captured in recorded evaluation calls between October 2025 and April 2026. Testimonials are lightly edited for clarity and anonymized at speaker request. Full verbatim source transcripts and speaker identities are retained by Altss under NDA and can be provided to qualified prospects on request. References available.
#Which is right for you?
- For VCs and investors sourcing deals
- PitchBook for transaction-level work. Altss now runs a live 35M+ company dataset (≈3x PitchBook), but it is built for relationship mapping and sourcing context, not deal records or valuations. If your workflow depends on deal history, financing rounds, and valuation comps, PitchBook remains the right tool.
- For GPs raising capital from family offices
- Altss. PitchBook's family office coverage is a widely-cited gap, and email error rates on PitchBook contact data are a campaign-level problem for active fundraising. Altss is purpose-built for this workflow — data plus a built-in CRM, AI outreach, and a meeting notetaker.
- For emerging managers (Fund I & II)
- Altss. PitchBook's pricing and LP-side orientation don't match the emerging manager budget or workflow. Altss offers reduced pricing for emerging managers (Fund I–III), along with the family office depth, current allocator signals, and built-in fundraising workflow aligned with first-time fundraising.
- For multi-strategy firms doing both sourcing and fundraising
- Often both. PitchBook for deal-level sourcing, valuations, and fund benchmarking. Altss for allocator targeting, family office outreach, company-level relationship mapping, and running the LP-intelligence and research side in one place. Teams that don't need transaction-level deal data increasingly consolidate the fundraising side onto Altss.
- For institutional LPs conducting due diligence
- PitchBook. Fund performance benchmarking, analyst research, and historical allocation data are what due diligence requires. Altss does not replicate this.
- For GTM teams selling to fund managers or allocators
- Depends on target. PitchBook for selling to VCs/PEs about deal workflows. Altss for selling to GPs/IR teams about LP outreach.
- For placement agents and capital introduction
- Altss. Current mandate signals and family office depth are the core capital introduction workflow. Several capital introduction teams use Altss as their primary LP targeting platform.
#Pros and cons
Altss
Pros
- +9,000+ family offices — deepest global FO coverage
- +150,000+ institutional LP entities with current data
- +Live 35M+ company dataset, ≈3x PitchBook (expanding to 70M+ in Q3 2026)
- +Full workflow: built-in CRM, AI outreach, research copilot, inbox + notetaker, Scouter, events intelligence, and a relationship graph
- +30-day re-verification for current LP data
- +OSINT methodology with source traceability
- +Email bounce-verification
- +Continually updated mandate and personnel signals
- +Transparent and predictable enterprise pricing (custom-scoped, reduced rates for emerging managers)
- +Purpose-built for fundraising workflows
- +Evidence links attached to every record
Cons
- −No fund performance benchmarking
- −No deal data or valuations — company layer is for relationships and sourcing, not transactions
- −No Excel/PowerPoint plugins
- −UI-only access (no data export by design); API + external CRM integrations on roadmap
- −Smaller team (11) than PitchBook's 3,000+
PitchBook
Pros
- +11.9M companies and 3M deals (live homepage, April 2026)
- +Best-in-class fund performance benchmarking
- +Full cross-asset-class coverage (PE, VC, M&A, credit, real estate)
- +1,800+ data operations team + 60+ analysts
- +Mature integration ecosystem (Excel, PowerPoint, CRM, LLM)
- +PitchBook Navigator AI, Claude/ChatGPT Premium Connector, Perplexity MCP
- +110K+ public companies covered
- +65,000+ private credit deals
- +Morningstar-backed enterprise stability
- +100,000+ clients, 3,000+ employees globally
Cons
- −Limited family office coverage
- −Email error rates a common user complaint
- −3–4 month company-level data refresh reported by users
- −Sales-gated pricing (entry bundle $30K minimum for 2+ seats, scaling to $70K+/year)
- −Heavier platform requiring significant onboarding
- −Not purpose-built for LP outreach workflows
- −Weaker on global (non-US/EU) family office data
- −Users report difficulty exiting subscriptions
#Using both together
Many sophisticated firms use both platforms because they solve different problems.
- PitchBook for deal sourcing, valuations, fund benchmarking, and cross-asset-class research
- Altss for allocator signals, family office outreach, LP contact accuracy, current mandate data, and running the LP intelligence, CRM, research, and AI outreach in one place
If your team does both active deal work and active fundraising, both tools are appropriate and serve different parts of the workflow. If your team's primary job is raising capital — especially from family offices — Altss alone typically replaces PitchBook's LP-side use.
With Altss now running a live 35M+ company dataset (expanding to 70M+ in Q3 2026) inside the same in-platform workspace as the LP data, CRM, research, and AI outreach, many teams consolidate the fundraising side onto Altss and retain PitchBook only for deal-level data, fund performance benchmarking, and analyst research where those are critical.
#Frequently asked questions
Is Altss a full replacement for PitchBook?
How much does Altss cost compared to PitchBook?
What is Altss's company dataset?
Is Altss just a database, or something more?
Does Altss cover fund performance benchmarking?
Who owns PitchBook?
Can I migrate my PitchBook data to Altss?
Does Altss have a CRM, or integrate with mine like PitchBook does?
How fresh is Altss data vs. PitchBook?
What about PitchBook Navigator and the Claude/ChatGPT integrations?
Can I trial Altss before switching?
Ready to see Altss live?
Book a demo and evaluate Altss for your LP targeting workflow — the live 35M+ company dataset, the built-in CRM, AI outreach, and research copilot, and the family office and institutional coverage. We'll walk through your specific targets, show you the live coverage against PitchBook, and scope pricing to your team.
See also
Sources
- 1.PitchBook company, deal, investor, and fund counts: PitchBook homepage hero section at pitchbook.com, accessed April 18, 2026 (11.9M companies, 3M deals, 621K investors, 161K funds) View source ↗
- 2.PitchBook limited partner count, people data, private credit deals: PitchBook, "PitchBook Strengthens Leadership in Global Capital Market Data Coverage," bi-annual data snapshot press release, May 8, 2025 (56,000+ LPs, 4.4M people, 65,000+ private credit deals) View source ↗
- 3.PitchBook company scale: PitchBook press release, "PitchBook Releases 2026 Outlook Reports," December 12, 2025 (100,000+ clients, 3,000+ employees globally) View source ↗
- 4.PitchBook data operations team: PitchBook press release, May 2025 (1,800+ data operations professionals, 100+ proprietary processes) View source ↗
- 5.PitchBook analyst research team: PitchBook press release, December 2025 (60+ analysts in Institutional Research Group) View source ↗
- 6.PitchBook Navigator launch: PitchBook press release, November 2025 View source ↗
- 7.PitchBook Perplexity MCP partnership: PitchBook partnership announcement, 2026 View source ↗
- 8.Morningstar acquisition of PitchBook: PitchBook company profile; acquired October 2016 for $225 million View source ↗
- 9.PitchBook pricing: Vendr Marketplace transaction data; TrustRadius verified customer reports; Failory customer interviews; CostBench pricing database; accessed April 2026 View source ↗
- 10.Altss internal database counts and live 35M+ company dataset: Internal platform metrics and product roadmap, June 2026 (live 35M+ companies; expansion to 70M+ planned for Q3 2026) View source ↗