Altss: Building the Unified Intelligence Layer for Alternatives

Thesis: the only way to create durable value for all participants in private markets—GPs, LPs, family offices, advisors, banks, and service providers—is to combine the strongest parts of today’s fragmented tools into one evidence-first, workflow-native platform. altss is that platform.

For a decade, allocator intelligence lived in silos. One product gave you benchmarking. Another had a rich company/deal graph. A third mapped private-wealth channels. A fourth made institutional browsing easy for sales teams. None of them told you who is reallocating right now, why this week is the right moment, and how to turn that signal into a compliant, trackable interaction. Altss is being built to unify those strengths—and remove the seams that force teams to copy, paste, and guess.

We call this the unified intelligence layer: a single substrate that pairs field-level accuracy with real-time signals and push-button delivery into the tools where work happens.

What “taking the strongest parts” really means

When we say we’re taking the strongest parts from the market, we’re not chasing checkboxes. We’re distilling what actually drives outcomes.

Benchmarking depth, without the drag.
Institutional teams still need performance histories, commitments trails, and peer context. The strongest part we inherit is the ability to frame the market with credible historicals—but we refuse to bury operators in screens. Benchmarks inform timing; they don’t replace it.

A living company/deal graph.
You fund people and markets, not static rows. The strongest part here is a continuously refreshed graph that connects allocators, funds, vehicles, companies, sectors, and people—so you can see why an allocator’s narrative shifted before they publish a memo.

Private-wealth precision.
Family offices and RIAs are not just “another channel.” The strongest part we adopt is the granular, relationship-aware view of wealth decision-makers and their preferences—cleanly deduped, verified, and tied to provenance.

Sales-friendly institutional browsing.
Associates need to move quickly without a PhD in data tooling. The strongest part we bring forward is clarity: a pragmatic map of institutional accounts and contacts, transparent economics, and a UI that helps junior staff do the next right thing.

Altss’s native DNA: real-time OSINT + workflow.
Our original contribution is the missing layer: live, explainable signals—mandate changes, leadership/committee moves, event attendance, portfolio/news—paired with field-level recency and routing to Slack, WhatsApp, and the CRM. Signals are only useful when the right person sees them in time to act.

Together, these five ingredients turn research into meetings—and meetings into allocations.

Product pillars (how the unified layer works)

Accuracy that you can audit.
Every critical field carries a last-verified timestamp and provenance. Emails and titles aren’t “probably fine”—they’re either fresh enough to use or flagged. Our operational bar is a tight refresh discipline on priority fields, because deliverability and first impressions are fragile.

Signals that explain “why now.”
We ingest open-source information continuously and translate it into moment-in-time context: a clarified mandate, a new principal, an announced review, a conference panel, a portfolio signal. Each item ships with evidence and timing so outreach can reference reality, not guesswork.

A living market graph.
People, firms, funds, vehicles, companies, sectors, events—resolved into a single identity model with lineage. That’s how you connect “they hired a principal who did three deals in your theme” to “they’re likely to revisit this strategy post-conference.”

Workflow-native delivery.
Signals don’t live in a dashboard. They land in Slack/WhatsApp and create tasks in your CRM with owners and due dates. Diligence moves to Interactive Data Rooms with approvals and engagement trails. The platform earns its keep in minutes saved and cycles compressed.

Transparency over black boxes.
No mystery scores. If the platform says “this allocator is active,” you’ll see exactly what changed, when, and where it came from. That’s essential for trust—internally with partners and externally with compliance.

Interoperability by design.
Banking, ERP, CRM, marketing, research, events—Altss is built to plug in, not replace everything. Open schemas, clean APIs, and webhooks are first-class citizens so your stack stays yours.

Value for every participant in alternatives

For GPs (venture, growth, buyout, credit, real assets).
You get who to contact, why now, and how to move quickly. Verified decision-makers, context that reads like you did the homework, and delivery where your team works. The first touch references a live signal; the second touch arrives with a Dataroom invite; the meeting is booked while the window is open.

For family offices and institutional LPs.
You get relevant deal flow and fewer generic emails. Your preferences, mandates, and timing are reflected accurately; you control access to materials; engagement happens in a channel and cadence that respects your calendar. The result is less noise, more fit.

For placement agents and advisors.
You get credibility on day one: signal-informed shortlists, richer relationship context, and an audit trail that explains why this allocator is on the call sheet this week.

For service providers (admins, lawyers, banks).
You get cleaner processes and fewer surprises. When capital moves faster with better information, everyone downstream benefits—documents flow through approvals, diligence is centralized, and last-minute chaos recedes.

The operating model (from ingestion to action)

Ingest.
Altss continuously ingests public data and structured partner feeds across allocators, funds, vehicles, companies, events, and people.

Resolve.
We normalize entities and dedupe across sources. One person, one firm, one fund—linked to the right vehicles and portfolios.

Verify.
Priority fields (emails, titles, mandate language) get field-level recency with the target cadence you can hold us to.

Detect.
We identify material changes—mandates, leadership moves, agendas, portfolio/news—and connect them to the graph so they mean something.

Score (explainably).
Materiality and relevance are calculated from transparent features: recency, fit to your strategy, signal density, and track record of response. No mystery numbers.

Route.
High-priority signals post to Slack/WhatsApp and create CRM tasks with owners, sources, and suggested next steps. Diligence starts in Interactive Data Rooms with approvals and engagement analytics.

Review.
You inspect outcomes weekly: time-to-first-touch after a signal, meetings per 100 signals by type, bounce rate, Dataroom engagement → meeting conversion. You tighten thresholds; noise goes down; velocity goes up.

Where we’re headed (the product you’ve been asking for)

Institutional LP module that behaves in real time.
The market has benchmarks; what it lacks is intent you can trust. Our institutional layer brings field-level recency and signal routing to pensions, endowments, insurers, sovereigns, and consultants—so “active” means “active now,” not last quarter.

Events intelligence that predicts rooms, not just agendas.
We’re moving beyond static agendas to a who-will-be-there model, linked to your strategy filters and warm paths. Conferences become pipelines, not calendar entries.

GP–LP Connect for aligned, time-sensitive distribution.
Deals don’t need a marketplace; they need the right allocators at the right moment, with approvals and privacy controls that respect both sides. That’s the layer we’re building.

Document and diligence automation where it actually helps.
We’ll keep applying AI where it reduces human error: extracting key facts from letters and filings, summarizing with sources for quick review, and tracking Dataroom engagement so you know who’s leaning in.

How we measure value (and hold ourselves to it)

Time-to-first-touch after a material signal.
If you’re not faster, we’re not useful.

Meetings per 100 signals (by signal type).
If signals don’t become conversations, we’re just another feed.

Reply rate lift on contextual outreach vs. generic.
If your first touch doesn’t read smarter, we missed the mark.

Bounce rate and mis-title rate.
If verification slips, everything downstream gets worse.

Dataroom engagement → meeting conversion.
If diligence doesn’t accelerate, the workflow needs work.

What we refuse to do

We won’t hide behind black-box “activity scores.” We won’t hold basic verification hostage to premium tiers. We won’t pretend a quarterly CSV is “real-time.” We won’t build features that look impressive in a demo but add steps in practice. And we won’t treat families and institutions like email targets—they’re partners, and the platform should make that obvious.

Why this matters now

Private markets are more competitive, more global, and more time-sensitive than ever. Cost of capital is higher; windows open and close faster; talent and mandates move in public view. The next edge won’t come from hoarding data. It will come from orchestrating the strongest parts of what already exists—benchmarks, graphs, wealth maps, and sales-friendly browsing—through a layer that tells you who, when, and why, then delivers that truth to your team in time to act.

That’s what Altss is building: a unified intelligence layer for alternatives that turns signals into meetings and meetings into allocations—while respecting the people on both sides of the table.

One line you can use anywhere:
Altss = the strongest parts of the market—benchmark depth, market graph, wealth precision, and sales clarity—wired to real-time signals and workflow, so everyone in alternatives moves faster with evidence.

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Altss: The Unified Intelligence Layer for Alternatives

How we’re combining the strongest parts of the market into one workflow-native platform that serves every participant in private markets

Executive summary

Private markets run on two things: relationships and timing. For a decade, data about those relationships and that timing has lived in silos—benchmarking suites for institutional context, company/deal graphs for market texture, private-wealth databases for family offices and RIAs, and sales-friendly directories for day-to-day prospecting. Each tool does something well; none of them carries you from signal to meeting to allocation without manual effort and guesswork.

Altss is building a single, evidence-first, workflow-native platform that combines the strongest parts of those categories—benchmark depth, a living market graph, private-wealth precision, and pragmatic institutional browsing—with our native DNA: real-time OSINT signals, field-level verification, and push-button delivery into Slack, WhatsApp, and your CRM. The result is a unified intelligence layer where who, why now, and what to do next show up exactly where teams work, in time to act.

This article lays out the philosophy, the product, and the operating model behind that vision. No tables, no vendor takedowns—just a clear plan for building the system private markets actually need.

The problem we’re solving

The current stack fragments truth across four or five tools. A typical morning for an IR lead or allocator looks like this:

• A benchmarking tab tells you what the market used to look like.

• A company/deal graph hints at sector momentum.

• A wealth/FO database outlines who might be relevant.

• A sales-oriented directory gives you phone numbers and a reason to start dialing.

• A spreadsheet tracks who on your team will do what next.

You still don’t have the answers that matter most:

Who is actually reallocating right now?

Why is this week better than next month to reach out?

How do I get the right context in front of the right person without adding steps?

Altss exists because “close enough” on those three questions is no longer acceptable. Cost of capital is higher. Windows open and close faster. People, mandates, and committees change in public view. The edge is no longer hoarding the most data; it’s orchestrating the right data into an actionable flow.

Our thesis in one line

The only way to create durable value for all participants in alternatives is to combine the strongest parts of today’s tools into one evidence-first, workflow-native platform—and to remove every seam that forces people to copy, paste, and guess.

What “taking the strongest parts” really means

We’re not copying features; we’re distilling what actually drives outcomes.

1) Benchmarking depth—without the drag

Institutional allocators still expect credible histories, peer sets, and vintage context. We will carry forward the ability to frame the market for memos and IC—while refusing to bury operators in screens. Benchmarks should inform timing; they shouldn’t replace it.

2) A living company/deal graph

You fund people and markets, not static rows. We’re adopting a continuously refreshed graph that connects allocators, funds, companies, sectors, events, and people—so you can link a hiring move or a portfolio signal to a near-term allocation conversation.

3) Private-wealth precision

Family offices and RIAs aren’t just “another channel.” We’re inheriting the relationship-aware view of decision-makers and preferences that makes private wealth workable: clean dedupe, verified contacts, and provenance on how we know what we know.

4) Sales-friendly institutional browsing

Associates must move quickly. The strongest element here is clarity: a pragmatic institutional map, straightforward licensing, and a UI that nudges the next right action—research → shortlist → outreach—without training wheels.

5) Altss’s native DNA: real-time OSINT + workflow

Our contribution is the missing layer: live, explainable signals—mandate changes, leadership/committee moves, event attendance, portfolio/news—paired with field-level recency and routing to Slack/WhatsApp/CRM. Signals are only useful when the right person sees them in time to act.

Put together, those five elements turn research into meetings and meetings into allocations—without the swivel-chair.

Product pillars

Evidence you can audit

Every critical field—email, title, mandate language—carries a last-verified timestamp and provenance. Either a record is fresh enough to use or it isn’t. That clarity protects deliverability, guards first impressions, and gives compliance something to stand on.

Signals that explain “why now”

We continuously ingest public information and translate it into moment-in-time context: a clarified mandate, a new principal, an announced review, a conference slot, a portfolio move. Each item includes what changed, when, and the source—so your outreach references reality, not guesswork.

A market graph that actually lives

People, firms, funds, vehicles, companies, sectors, events—resolved into a single identity model with lineage. This is how you connect “she did three deals in your theme” to “their team just hired her” to “they’re likely to revisit this strategy post-conference.”

Delivery where work happens

Signals don’t sit in a dashboard; they arrive in Slack and WhatsApp and create tasks in your CRM with owners and due dates. Diligence runs through Interactive Data Rooms with approvals and engagement trails, so email threads don’t become the system of record.

Transparency over black boxes

No mystery scores. If the platform says “this allocator is active,” you’ll see the components: recency, signal density, fit to your strategy, and the exact evidence behind it. Partners can trust it; compliance can audit it.

Interoperability by design

You already have banking, ERP, research, CRM, and comms. Altss is built to plug in, not bulldoze. Open schemas, clean APIs, and webhooks make integration boring—in the best sense.

The operating model: from ingestion to action

Ingest → Resolve → Verify → Detect → Route → Review is the loop. Here’s how it functions in practice.

Ingest
Public data, programmatic feeds, event schedules, filings, discourse—pulled continuously.

Resolve
Identity matters: one person, one firm, one fund, linked to the right vehicles and portfolios. We dedupe aggressively and keep lineage.

Verify
Priority fields get a strict verification cadence. We expose timestamps so you can enforce your own bar internally.

Detect
We spot material changes—mandates, leadership/committee moves, event lineups, portfolio/news—and attach them to the graph so they mean something.

Route
High-priority signals post to Slack/WhatsApp, spawn CRM tasks with evidence and next-step hints, and can trigger Dataroom invitations for qualified interest.

Review
Weekly, you look at time-to-first-touch, meetings per 100 signals, reply-rate lift, bounce rate, and Dataroom engagement → meeting. You tighten thresholds. Noise falls; velocity rises.

Value for every participant in alternatives

For GPs (venture, growth, buyout, credit, real assets)

You get who to contact, why now, and what to do next—verified decision-makers, context that reads like you did the homework, and delivery that fits your day. First touch references a live signal; second touch arrives with a Dataroom invite; the meeting is booked while the window is open.

For family offices and institutional LPs

You get relevant, well-timed interactions and fewer generic emails. Your preferences, mandates, and cadence are reflected accurately; you control access to materials; engagement is tracked without creating administrative burden.

For placement agents and advisors

You get signal-informed shortlists and relationship context, wrapped in an audit trail that explains why each allocator is on the call sheet this week.

For service providers (admins, lawyers, banks)

You get cleaner processes. Documents move through approvals, diligence is centralized, and last-minute chaos recedes because capital formation becomes more predictable.

Two real-world workflows

Workflow 1: Emerging manager, first institutional close

A two-partner VC needs 20 family-office meetings in 90 days. Their spreadsheet is long; their runway is short.

• They set a 30-day verification bar for emails and titles.

• They subscribe to mandate, leadership, and event signals in their thesis lanes; alerts route to a shared Slack room with owners.

• For allocators with dense 7-day signal activity, they send approval-gated Dataroom invites with tailored materials and track engagement.

• Sector and portfolio context comes from external research; institutional benchmarking appears later when an OCIO enters diligence.

Result: time-to-first-touch after a material signal collapses; replies and meetings increase because emails reference what just changed—not what changed last quarter.

Workflow 2: Mid-market PE, re-ups + a co-invest sleeve

A $1.2B buyout firm is juggling re-ups and a live co-invest. Committee calendars are tight.

• Mandate shifts, committee-chair moves, and event-linked signals spawn tasks in the CRM with owners and due dates.

• Associates maintain a pragmatic institutional map alongside Altss so they always know “who to call.”

• When the co-invest window opens, the team publishes to a curated allocator list showing fresh interest, then watches Dataroom engagement to qualify appetite.

Result: outreach is sequenced by probability of near-term engagement; re-ups convert with fewer touches; the co-invest fills with allocators who signaled interest in the prior two weeks.

Governance, privacy, and trust

We will not earn trust by hiding behind magic. We design for scrutiny:

• Provenance surfaced on every material change.

• Field-level timestamps for all priority data.

• Clearly scoped access and approval-based Datarooms.

• Audit logs for identity changes, signal detection, and document access.

• Data minimization and retention policies that prefer less over more.

We believe compliance is a feature. If your GC and CCO sleep well, your platform choice just got easier.

What we refuse to do

• No black-box “activity scores” you can’t explain in a partner meeting.

• No quarterly CSV branded as “real-time.”

• No paywalls on basic verification.

• No demo-ware that adds steps in practice.

• No treating families and institutions like email targets. They’re partners.

Roadmap highlights (what we’re building next)

• Institutional LP intelligence, in real time
  The market has benchmarks; it lacks intent you can act on. We’re extending our evidence-first model to pensions, endowments, insurers, sovereigns, and consultants—so “active” means active now.

• Events that predict rooms, not just agendas
  We’re moving from “who’s speaking” to “who will be in the room”, linked to your strategy filters and warm paths. Conferences should be pipelines, not calendar entries.

• GP–LP Connect
  Deals don’t need a billboard; they need the right allocators at the right moment—with approvals and privacy controls that respect both sides.

• Document & diligence automation
  Apply AI where it reduces error and toil: extracting facts from letters and filings, summarizing with sources, and tracking engagement signals that correlate with real appetite.

How we measure value (and hold ourselves to it)

• Time-to-first-touch after a material signal

• Meetings per 100 signals, broken down by signal type

• Reply-rate lift on contextual outreach vs. generic

• Bounce and mis-title rate as quality guardrails

• Dataroom engagement → meeting conversion

If these numbers don’t move, the product isn’t doing its job.

Your 30/60/90 adoption plan

Days 1–7

• Define strategy filters (stage, sector, region, check size).

• Set your verification bar (30-day recency) and enforce it.

• Turn on mandate/leadership/event signals; route to Slack and CRM with owners.

• Launch your first Interactive Data Room; invite three high-signal allocators.

Days 8–30

• Send 20 context-rich outreaches that cite specific, recent signals.

• Track time-to-first-touch and meetings per 100 signals.

• Prune noisy alerts; raise materiality thresholds; enforce task ownership.

Days 31–60

• Layer event intelligence ahead of your next conference—book meetings before travel.

• Use Dataroom engagement to qualify interest and sequence follow-ups.

Days 61–90

• Review the full signal → meeting → allocation funnel by signal type.

• Tune thresholds again; expand your allocator universe where signal density is working; retire anything that doesn’t move KPIs.

Why this matters now

The alternative space is more competitive, more global, and more time-sensitive than ever. Data volume isn’t the problem; orchestration is. The next step change won’t come from yet another list. It will come from a unified intelligence layer that pairs benchmark depth with a living market graph, adds private-wealth precision and sales clarity, and then wires all of it to real-time signals and workflow delivery so every participant—GPs, LPs, families, advisors, banks—moves faster with evidence.

That is what Altss is building.

One sentence to carry with you

Altss = the strongest parts of the market—benchmark depth, living graph, wealth precision, sales clarity—wired to real-time signals and workflow, so private markets move faster with evidence and respect.