Transform User Logs
into Cognitive Data

Convert raw user interactions into structured JSON enriched with intent, reasoning, and memory signals – ready for LLMs, RAG pipelines, and agentic AI.

Transform User Logs
into Cognitive Data

Convert raw user interactions into structured JSON enriched with intent, reasoning, and memory signals – ready for LLMs, RAG pipelines, and agentic AI.

New!

PostHog Integration Available

Transform User Logs into Cognitive Data

Convert raw user interactions into structured JSON enriched with intent, reasoning, and memory signals – ready for LLMs, RAG pipelines, and agentic AI.

New!

PostHog Integration Available

Transform User Logs into Cognitive Data

Convert raw user interactions into structured JSON enriched with intent, reasoning, and memory signals – ready for LLMs, RAG pipelines, and agentic AI.

About us

About us

We’re Building the Cognitive Data Layer for AGI

Why Agents Today Fall Short

LLMs can generate. Agents can act. But they still lack one thing: understanding. Human behavior isn’t just clicks: it’s filled with purpose, memory, and context. We extract that missing signal from raw logs.

Intent

The goal behind the action

Reasoning

The logic connecting events

Memory

Built for long-term understanding

A Foundation for Agentic Intelligence

Keeya transforms messy logs into structured, high-signal cognition in both JSON and vector formats. These outputs plug directly into AI agents, enabling planning, adaptation, and reasoning.

The Infrastructure Moment for AI Understanding

PostHog and Amplitude helped track clicks. We go further. Keeya is a full-stack cognitive data engine that connects your entire stack, from PostHog to AWS, Pinecone, Hugging Face and beyond.

PostHog

Capture granular user events

Sagemaker

Build, Train and Deploy LLMs

Pinecone

Vector DB for long-term memory

Vector Database

Hugging Face

Bring your own models

Features

Features

Features

Cognitive Signal Extraction

Automatically extract high-signal cognitive data like intent, attention, and reasoning from raw event logs.

Cognitive Signal Extraction

Automatically extract high-signal cognitive data like intent, attention, and reasoning from raw event logs.

Cognitive Signal Extraction

Automatically extract high-signal cognitive data like intent, attention, and reasoning from raw event logs.

Event Stream Structuring

Turn noisy behavioral data from PostHog into structured, timestamped JSON or vector suitable for AI input.

Event Stream Structuring

Turn noisy behavioral data from PostHog into structured, timestamped JSON or vector suitable for AI input.

Event Stream Structuring

Turn noisy behavioral data from PostHog into structured, timestamped JSON or vector suitable for AI input.

LLM & Agent Compatibility

Built to plug directly into agents, RAG pipelines, and fine-tuned LLMs — not just dashboards.

LLM & Agent Compatibility

Built to plug directly into agents, RAG pipelines, and fine-tuned LLMs — not just dashboards.

LLM & Agent Compatibility

Built to plug directly into agents, RAG pipelines, and fine-tuned LLMs — not just dashboards.

API + SDK Integration

Simple JS SDK for frontend tracking + backend API to push custom events, memory, and reasoning context.

API + SDK Integration

Simple JS SDK for frontend tracking + backend API to push custom events, memory, and reasoning context.

API + SDK Integration

Simple JS SDK for frontend tracking + backend API to push custom events, memory, and reasoning context.

Real-time Enrichment

Each event is enriched with cognitive metadata on the fly — no extra tagging or labeling needed.

Real-time Enrichment

Each event is enriched with cognitive metadata on the fly — no extra tagging or labeling needed.

Real-time Enrichment

Each event is enriched with cognitive metadata on the fly — no extra tagging or labeling needed.

Agentic Planning Mode

Replay past user journeys with inferred goals, subgoals, decisions, and blockers to train adaptive AI agents.

Agentic Planning Mode

Replay past user journeys with inferred goals, subgoals, decisions, and blockers to train adaptive AI agents.

Agentic Planning Mode

Replay past user journeys with inferred goals, subgoals, decisions, and blockers to train adaptive AI agents.

Pricing

Pricing

Pricing

Free tier

Great for side projects, solo devs, and prototyping AI agents

$0

/Month

User-friendly dashboard

10K cognitive events/month

JavaScript SDK + API access

Real-time cognitive JSON

30-day retention

Email support

Pay-As-You-Go

Designed for growing apps, teams, and production agents

Custom Pricing

Millions of cognitive events/month

Custom retention (30–180 days)

Priority processing + guaranteed delivery

Bring Your Own Models

Enterprise SLA & SOC 2 readiness

Additional Integration support

Free tier

Great for side projects, solo devs, and prototyping AI agents

$0

/Month

User-friendly dashboard

10K cognitive events/month

JavaScript SDK + API access

Real-time cognitive JSON

30-day retention

Email support

Pay-As-You-Go

Designed for growing apps, teams, and production agents

Custom Pricing

Millions of cognitive events/month

Custom retention (30–180 days)

Priority processing + guaranteed delivery

Bring Your Own Models

Enterprise SLA & SOC 2 readiness

Additional Integration support

Free tier

Great for side projects, solo devs, and prototyping AI agents

$0

/Month

User-friendly dashboard

10K cognitive events/month

JavaScript SDK + API access

Real-time cognitive JSON

30-day retention

Email support

Pay-As-You-Go

Designed for growing apps, teams, and production agents

Custom Pricing

Millions of cognitive events/month

Custom retention (30–180 days)

Priority processing + guaranteed delivery

Bring Your Own Models

Enterprise SLA & SOC 2 readiness

Additional Integration support

How it works

How it works

How it works

From Clicks to Cognition in 3 Steps

Connect your stack

Drop in our lightweight SDK or forward raw logs from PostHog. No infrastructure changes needed.

Connect your stack

Drop in our lightweight SDK or forward raw logs from PostHog. No infrastructure changes needed.

Connect your stack

Drop in our lightweight SDK or forward raw logs from PostHog. No infrastructure changes needed.

Capture Cognitive Signals

We transform noisy user activity into structured signals like intent, reasoning, emotion, and memory. All in real time.

Capture Cognitive Signals

We transform noisy user activity into structured signals like intent, reasoning, emotion, and memory. All in real time.

Capture Cognitive Signals

We transform noisy user activity into structured signals like intent, reasoning, emotion, and memory. All in real time.

Power Your AI Agents

Plug enriched data into your RAG pipelines, fine-tuned LLMs, or agents for smarter planning, grounding, and feedback loops.

Power Your AI Agents

Plug enriched data into your RAG pipelines, fine-tuned LLMs, or agents for smarter planning, grounding, and feedback loops.

Power Your AI Agents

Plug enriched data into your RAG pipelines, fine-tuned LLMs, or agents for smarter planning, grounding, and feedback loops.

FAQ's

FAQ's

FAQ's

Everything you need to know about us

What is Keeya?

Keeya is a cognitive data engine that transforms messy user logs into high-signal, structured data including intent, reasoning, and memory in both JSON and vector formats. It’s built to power LLMs, agents, and adaptive AI systems.

Do I need to install anything to use Keeya?

How is Keeya different from PostHog or Amplitude?

Can I use Keeya with my own backend or analytics stack?

Can I bring my own models?

What data does Keeya store?

What is Keeya?

Keeya is a cognitive data engine that transforms messy user logs into high-signal, structured data including intent, reasoning, and memory in both JSON and vector formats. It’s built to power LLMs, agents, and adaptive AI systems.

Do I need to install anything to use Keeya?

How is Keeya different from PostHog or Amplitude?

Can I use Keeya with my own backend or analytics stack?

Can I bring my own models?

What data does Keeya store?

What is Keeya?

Keeya is a cognitive data engine that transforms messy user logs into high-signal, structured data including intent, reasoning, and memory in both JSON and vector formats. It’s built to power LLMs, agents, and adaptive AI systems.

Do I need to install anything to use Keeya?

How is Keeya different from PostHog or Amplitude?

Can I use Keeya with my own backend or analytics stack?

Can I bring my own models?

What data does Keeya store?

Unlock cognitive data for your AI agents

Get early access to structured reasoning, intent logs, and model-ready data for your startup or research team.