Backed by investors from
Cursor 
Notion 
First Harmonic 
Front 
Weekend Fund 
Yelp 
Figma 
Cursor Notion First Harmonic Front Weekend Fund Yelp Figma Chunking. Reranking. Agent loops.
Complex queries still break. In legal, a missed exhibit. In construction, seven figures left on the table.
You're building retrieval infrastructure. You should be building your product.
Yes, even for your data
One API to search, reason, and synthesize across your entire corpus.
Which of our 340 leases have rent escalation terms that conflict with the master lease agreement?
340 documents Β· 4 search hops Β· 18 findings 340 documents Β· 4 search hops
18 findings
Do any of these 200 contracts have a liability cap under $1M that conflicts with the master agreement?
200 documents Β· 3 search hops Β· 12 findings 200 documents Β· 3 search hops
12 findings
Were there any adverse events across these 1,200 trial documents that correlate with protocol deviations?
1,200 documents Β· 6 search hops Β· 31 findings 1,200 documents Β· 6 search hops
31 findings
How have the risk factor disclosures changed across our last 8 quarters of 10-K filings?
847 documents Β· 5 search hops Β· 14 findings 847 documents Β· 5 search hops
14 findings
Does this claimant have any prior losses on file that conflict with their current submission?
524 documents Β· 4 search hops Β· 9 findings 524 documents Β· 4 search hops
9 findings
Are there any conflicting environmental impact assessments across these permit applications?
453 documents Β· 5 search hops Β· 16 findings 453 documents Β· 5 search hops
16 findings
Which of our carrier agreements have force majeure terms that differ from our standard contract?
831 documents Β· 3 search hops Β· 11 findings 831 documents Β· 3 search hops
11 findings
Deep research that gets smarter every week.
Charcoal uses RL directly on your data to learn how best to navigate it. Every production query, every correction, every flag feeds back into the model.
How it works
We ingest your query patterns
Charcoal learns from the real queries your agent makes, mapping them to the underlying terminology, aliases, and patterns unique to your corpus.
Any signal on wrong results
Thumbs down, a flag, a correction: any feedback your users or team give on bad results becomes a direct training signal.
RL checkpoints ship automatically
Feedback feeds into our RL loop. Improved model checkpoints are validated and deployedβno manual tuning required.
"This is exactly what we were trying to build ourselves. An extremely well-tuned model for our specific use case, with evals and RL built in, so I don't have to build or maintain any of it.
I love it."
Built for enterprise trust.
SOC 2
Independently audited controls for security, availability, and confidentiality.
GDPR
Compliant with EU data protection, subject rights, and cross-border transfer rules.
HIPAA
We handle protected health information. BAAs available on request.