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
Turn User Behavior into AI Training Data
Convert user events into structured JSON with intent and reasoning labels - ready for fine-tuning models and training intelligent agents.
New!
PostHog Integration Available
Turn User Behavior into AI Training Data
Convert user events into structured JSON with intent and reasoning labels - ready for fine-tuning models and training intelligent agents.
About us
About us
The Problem We Solve
Raw Events Don't Tell the Full Story
Your analytics give you clicks, scrolls, and views. But they don't capture why users did what they did or what they were trying to accomplish. This makes it hard to train AI models that understand user behavior.
Intent
The goal behind the action
Reasoning
The logic connecting events
Memory
Built for long-term understanding
Structured Training Data for AI
Keeya processes your user events and adds structured labels for intent and reasoning. This creates high-quality training datasets that AI models can learn from, not just dashboards to look at.
Built for AI Development Teams
Integrates with your existing analytics stack (PostHog, Amplitude) and outputs to vector databases and model training pipelines. Get the labeled behavioral data your AI models need.
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
Behavioral Intent Extraction
Automatically extract user intent, goals, and reasoning patterns from raw event logs to create labeled training data.
Behavioral Intent Extraction
Automatically extract user intent, goals, and reasoning patterns from raw event logs to create labeled training data.
Behavioral Intent Extraction
Automatically extract user intent, goals, and reasoning patterns from raw event logs to create labeled training data.
API + SDK Integration
Simple JS SDK for frontend tracking + backend API to push custom events, behavioral context, and training labels.
API + SDK Integration
Simple JS SDK for frontend tracking + backend API to push custom events, behavioral context, and training labels.
API + SDK Integration
Simple JS SDK for frontend tracking + backend API to push custom events, behavioral context, and training labels.
Real-time Processing
Each event is processed and labeled with behavioral metadata on the fly - no manual tagging or labeling needed.
Real-time Processing
Each event is processed and labeled with behavioral metadata on the fly - no manual tagging or labeling needed.
Real-time Processing
Each event is processed and labeled with behavioral metadata on the fly - no manual tagging or labeling needed.
Event Stream Processing
Turn noisy behavioral data from PostHog into structured, timestamped JSON or vector format suitable for AI model training.
Event Stream Processing
Turn noisy behavioral data from PostHog into structured, timestamped JSON or vector format suitable for AI model training.
Event Stream Processing
Turn noisy behavioral data from PostHog into structured, timestamped JSON or vector format suitable for AI model training.
AI Training Ready
Built to plug directly into model training pipelines, fine-tuning workflows, and vector databases - not just analytics dashboards.
AI Training Ready
Built to plug directly into model training pipelines, fine-tuning workflows, and vector databases - not just analytics dashboards.
AI Training Ready
Built to plug directly into model training pipelines, fine-tuning workflows, and vector databases - not just analytics dashboards.
Training Dataset Generation
Export user journeys with labeled goals, decisions, and outcomes to create high-quality datasets for AI agent training.
Training Dataset Generation
Export user journeys with labeled goals, decisions, and outcomes to create high-quality datasets for AI agent training.
Training Dataset Generation
Export user journeys with labeled goals, decisions, and outcomes to create high-quality datasets for AI agent training.
Pricing
Pricing
Pricing
Free tier
Great for side projects, solo devs, and prototyping AI agents
$0
/Month
User-friendly dashboard
10K labeled events/month
JavaScript SDK + API access
Real-time labeled JSON
30-day retention
Email support
Pay-As-You-Go
Designed for growing apps, teams, and production agents
Custom Pricing
Millions of labeled 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 labeled events/month
JavaScript SDK + API access
Real-time labeled JSON
30-day retention
Email support
Pay-As-You-Go
Designed for growing apps, teams, and production agents
Custom Pricing
Millions of labeled 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 labeled events/month
JavaScript SDK + API access
Real-time labeled JSON
30-day retention
Email support
Pay-As-You-Go
Designed for growing apps, teams, and production agents
Custom Pricing
Millions of labeled 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.
Process & Label Events
We analyze user behavior patterns and add structured labels for intent, reasoning, and context. All in real time.
Process & Label Events
We analyze user behavior patterns and add structured labels for intent, reasoning, and context. All in real time.
Process & Label Events
We analyze user behavior patterns and add structured labels for intent, reasoning, and context. All in real time.
Export Training Data
Get labeled datasets via API or webhook that plug directly into model training, fine-tuning workflows, and vector databases.
Export Training Data
Get labeled datasets via API or webhook that plug directly into model training, fine-tuning workflows, and vector databases.
Export Training Data
Get labeled datasets via API or webhook that plug directly into model training, fine-tuning workflows, and vector databases.
FAQ's
FAQ's
FAQ's
Everything you need to know about us
What is Keeya?
Keeya is a behavioral data platform that transforms user event logs into structured training data with labels for intent, reasoning, and context in JSON and vector formats. It's built for AI model training and fine-tuning workflows.
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 behavioral data platform that transforms user event logs into structured training data with labels for intent, reasoning, and context in JSON and vector formats. It's built for AI model training and fine-tuning workflows.
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 behavioral data platform that transforms user event logs into structured training data with labels for intent, reasoning, and context in JSON and vector formats. It's built for AI model training and fine-tuning workflows.
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.