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Caddi
Caddi deploys an AI-native automation layer that targets the operations stack of professional-services firms.
Caddi
Caddi deploys an AI-native automation layer that targets the operations stack of professional-services firms. The company trains its models by observing human workflows via screenshare, then parallelizes those workflows across common back-office tools. It currently lists four turnkey solutions: new-matter setup, claims-email triage, intake-document packet assembly, and time entry. By design, the platform requires no API coding or IT-heavy implementation, which positions it for mid-market law firms, RIAs, insurance carriers, and credit unions. Integration breadth anchors the product. Caddi claims compatibility with more than 70 SaaS applications, covering client-intake portals, document-management systems, email platforms, and practice-management suites. The automation runs in the background of those existing tools rather than replacing them, an architecture that reduces switching risk for firms that have already invested in legacy or specialty software. The go-to-market language emphasizes speed-to-lead — "before your competitor even calls back" — indicating a direct ROI story built around time-to-engagement for client-facing workflows. Financial metrics, headcount, and funding history remain undisclosed. The firm does not publish a founding date, named principals, or office location on its corporate site. Its security posture is summarized with a single line promising enterprise-ready data protections for confidential client information, a necessary threshold requirement for the regulated sectors it courts. Without public team bios or investor disclosures, the operational scale remains opaque. Caddi's structural distinction is a no-code, observation-based training paradigm for process automation in an industry that typically requires bespoke IT integrations. Rather than relying on pre-mapped rules or RPA templates, the system generalizes from a single human demonstration, a technical approach that reduces deployment friction but raises questions about edge-case handling and audit compliance in high-stakes legal and insurance settings.
General information
Firm type
Asset Manager
Year founded
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AUM
Undisclosed
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Sector focus
Frequently asked questions
What specific tasks does Caddi automate, and for which industries?
Caddi automates cross-application back-office workflows for professional-services firms, with a stated focus on law firms, RIAs, insurance carriers, and credit unions. Published use cases include new-matter setup, email-thread triage for claims teams, assembly of intake document packets, and time-entry logging. The platform is designed to sit on top of existing tools rather than replace them, interacting with more than 70 applications that the firm already uses.
How does Caddi's training model work technically?
The firm describes a "screenshare-to-automation" pipeline: a user shares their screen during a single video call and shows Caddi how a repetitive task is performed. The AI observes the sequence of clicks, keystrokes, and application-specific steps, then builds a reusable automation that can run the workflow in parallel at scale. The company states that it surfaces new automation opportunities every week as the system learns more about the firm's operations.
What security and compliance controls does Caddi offer for regulated industries?
The public website references "enterprise-ready security for confidential client data" but does not list specific certifications, third-party audits, or data-residency options. For law firms, RIAs, and insurers — all of which handle sensitive client information governed by professional privilege, fiduciary duty, and data-privacy regulations — deeper due diligence on encryption standards, access controls, and breach protocols would be required.
Who leads Caddi and what is the firm's operational history?
Caddi does not publicly name any principals, key investors, or founding team members on its corporate website, and a LinkedIn presence was not captured. With no disclosed founding year, headcount, or funding rounds, the firm's governance structure and operational track record remain unverifiable from available public sources.
How does Caddi compare to traditional RPA or legal-tech automation incumbents?
Traditional RPA platforms typically require process mapping, structured templates, and IT support to deploy in legal or financial environments. Caddi's differentiator is its observation-based setup — a single demonstration replaces upfront configuration — which aims to cut implementation time and enable non-technical operations teams to build their own automations. Incumbent legal-workflow tools often focus on specific point solutions rather than cross-application orchestration.
Profile maintained by Altss using OSINT (open-source intelligence), regulatory filings, licensed data partners, and verified direct submissions. Read the methodology. Last updated: . Continuous refresh with full update cycles at least every 30 days.
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