Put AI to work for financial services

Connect the critical data and business context your firm runs on into AI agents that can automate client operations, help scale AUM and accurately answer the questions that matter.

Deliver high-impact outcomes with Precog

Onboard clients faster

Onboarding is typically a highly manual process, with teams reviewing documents, entering data, and asking clients for information already on file. Now, with client documents, CRM records, and portfolio performance accessible with complete context, AI agents can onboard a client end-to-end, pulling the right information, populating the necessary forms, and flagging what's missing.

ChatGPTClaudeGeminiCopilot
Ask your data

“Which new clients are stuck in onboarding, and at what step?”

Predict customer churn

Spotting a client at risk means connecting engagement patterns, communications, and account activity: information and understanding that is scattered across systems, processes, and people. Give advisors a complete understanding of each client, in context, so AI can help spot risk before a relationship is lost.

ChatGPTClaudeGeminiCopilot
Ask your data

“Which clients are showing signs of churn risk based on engagement and communication patterns?”

Identify growth opportunities

Leadership needs to know where AUM is growing, where opportunities are stalled, and where the highest-leverage accounts are, across every advisor and every segment. See performance sliced by any dimension simply by asking natural-language questions.

ChatGPTClaudeGeminiCopilot
Ask your data

“Where are our biggest stalled opportunities right now, and what’s holding them up?”

Why choose Precog

Any data type

Precog connects to any source, marrying the structured and unstructured data trapped in documents, contracts, complex systems, and more and delivers it ready for AI without manual work or ongoing maintenance.

Live context layer

Precog combines the understanding of your real business data with your business use cases to automatically generate the semantic foundation that AI needs to answer questions accurately.

Governance and auditability

Precog continually improves models for all users with real feedback, while keeping the data team in control of what gets published. And maintain trust in AI-generated answers with traceability on what data was used and when it was updated.

Getting started is simple

1

Define your business question

Precog grounds the semantic layer in the problem space your team actually works in, with its specific understanding and logic.

2

Connect your data sources

Load gold layer data with Precog's intelligent ingest, or point it at what's already in your warehouse.

3

Give it context

Precog analyzes your use case, combines it with knowledge of the sources, and extracts the KPIs, definitions, and business rules.

4

Leverage your existing AI investment

Point Claude, ChatGPT, Copilot, or Gemini at your data and start asking questions.

Get started with Precog

Start delivering data insights using AI with the Context Engine for Enterprise AI

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