Fletchr — Intelligent Data Infrastructure

The data layer
you were
never supposed
to have.

Enterprise data lake capabilities — ingestion, ontology mapping, semantic search, and AI interaction — built for organizations that were never given access to this before.

// Live Production System
1.2M+
Document chunks indexed and queryable — right now. Chronicle is our infrastructure at full scale.
// Pipeline Stages
6
Ingest → chunk → embed → ontology extract → semantic index → AI interaction. End to end.
// Data Ownership
ZDR
Zero data retention. Your infrastructure. Your data. Never leaves. Non-negotiable.
// Cost vs. Enterprise
1/100th
What Databricks + a data team costs vs. what Fletchr costs. Same capability. Fraction of the price.
1.2M+Chunks Indexed
30+Collections
6-StageIngestion Pipeline
ZDRZero Data Retention
BGEEmbedding Model
1776Earliest Record
LiveProduction Status
$0Data Sold
01

You have the data.

Documents, records, filings, emails, reports. It exists. It's locked in folders and inboxes with no way to actually use it. Every organization has this problem. Most never fix it.

02

You couldn't afford to fix it.

Data lakes, ontology pipelines, semantic search — this used to require a data engineering team and six-figure infrastructure. That was by design. Enterprise tools for enterprise budgets.

03

That changes now.

Fletchr deploys the full stack — ingestion, ontology mapping, semantic indexing, AI interaction — on your infrastructure, at a price that doesn't require a board approval.

How It Works

Six stages from raw data
to intelligent answers.

The same pipeline powering Chronicle's 1.2M+ chunk corpus — deployed privately on your infrastructure in days, not months.

01
Federated Ingestion
APIs, scrapers, uploads, databases, document stores. Any source. Any format. Any volume.
02
Chunking
Documents broken into semantic units — preserving context, structure, and meaning.
03
Embedding
Chunks converted to vector representations using BGE models, enabling similarity search at scale.
04
Ontology Extraction
Entities, relationships, and concepts extracted and mapped. Your data learns what it means.
05
Semantic Indexing
Everything indexed in ChromaDB. Fast, accurate retrieval across millions of records.
06 · AI Interaction Layer
Query your entire corpus in plain language. Get answers grounded in your own data — cited, traceable, and sourced. No hallucinations. No approximations.
Ontology & Knowledge Mapping

Your data doesn't just need to be stored.
It needs to understand itself.

Most tools stop at storage and search. Fletchr goes further — extracting the entities, relationships, and concepts hidden inside your documents, then mapping how they connect. The difference between a search engine and a knowledge graph. Between finding a document and understanding what it means.

See It In Action
// The Training Data Moat
Chronicle's ontology extraction pipeline generates the training data powering Fletchr Enterprise — a self-hosted model trained on your domain, requiring zero external API calls. Your data builds your model.
// What Gets Extracted
Named Entities
People, organizations, locations, statutes, case numbers, dates — automatically identified across every document in your corpus.
Relationships
How entities connect — who signed what, which statute governs which action, which organizations are linked across your records.
Concepts & Topics
The semantic meaning behind the text. Not just keywords — the ideas, categories, and domains each document belongs to.
Conflict Detection
When documents disagree — conflicting data, superseded rules, inconsistent records — the ontology surfaces it automatically.
Knowledge Graph
All entities and relationships mapped into a traversable graph. A document pile becomes an organizational memory.
Explore
Search
For You
Graph
Primary Source Collection
Congressional Bills
Search U.S. congressional bills, legislative text, amendments, sponsors, committees, and policy history.
280,434
Documents Indexed
Federal
Record Coverage
Legislative
Source Type
ZDR
Queries Not Retained
// Query Inside Congressional Bills
Inflation Reduction Act
AI regulation bills
defense authorization act
climate policy bills
Chronicle — Proof of Capability

This is what our infrastructure looks like at scale.

Chronicle isn't a demo. It's a live production system — 1.2M+ chunks across 30+ collections, built on the same six-stage pipeline we deploy for private clients. Launching publicly June 19, 2026.

Explore Chronicle ↗Deploy For Your Org
1.2M+
Chunks Indexed
30+
Collections
1776
Earliest Record
Jun 19
Public Launch
Federal Records
Statutes, Regulations & Code
U.S. Code, CFR, Federal Register, congressional bills, and executive orders — fully indexed.
Legal & Courts
Case Law & Legal Records
Court opinions, legal filings, and judicial records searchable alongside regulatory text.
Intelligence
Declassified Documents
Declassified intelligence records and historical government documents from 1776 forward.
Launch
Juneteenth — June 19
Founder pricing for the first 500 subscribers. Public records with no paywalls. Ever.
Who It's For

Built for the organizations
that were left out.

Enterprise data infrastructure has always required enterprise budgets and engineering teams. Fletchr opens the door.

Government & Public Sector
Agencies drowning in documents.
FOIA records, policy filings, procurement history, compliance documents. Your data exists. You just can't query it. Fletchr deploys on government infrastructure — no vendor cloud required.
Legal & Regulated Industries
Law firms, brokers, and advisors.
Client files, case history, contracts, compliance records. Private deployment. ZDR. An AI layer that knows your documents and knows the law — without ever touching a third-party server.
Small & Mid-Size Organizations
Any org with data and no data team.
If you collect data but can't use it, Fletchr is your data engineering team, your data lake, and your AI analyst — all in one deployment. No headcount required.
Capability
Enterprise (Legacy)
Fletchr
Data Lake Infrastructure
$500K+/yr data team + tools
Included. Deployed in days.
Ontology & Knowledge Graph
Months of data engineering
Automated extraction pipeline
AI Interaction Layer
Custom ML team required
Live on your data immediately
Data Ownership
Vendor cloud. Your risk.
Your infrastructure. Non-negotiable.
Semantic Search
Elasticsearch + engineers
Production-ready out of the box
30-Day Private Pilot

Start with your data.
See what it knows.

A founder-led pilot. We ingest your data, configure your private environment, map your ontology, and show you what your organization actually knows. Thirty days. No long-term commitment required.

Request a PilotBecome a Partner
// Field Partner Program

Know an org sitting on unusable data? Commission-based. No quota. Identify the client, book the intro — we handle the rest.

// What Happens
// Your Data Is Waiting

Stop sitting on data
you can't use.

30-day pilot · Private deployment · Founder-led · ZDR from day one
Your data never leaves your infrastructure

Request a PilotExplore Chronicle ↗

No credit card required · No long-term commitment · Data sovereignty guaranteed