Real Estate
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
23 leases with non-standard escalation terms
5 conflicts with master lease Β§6.3
Agentic search
at a
fraction of the cost.
Finally, reliable and affordable retrieval for legal discovery construction claims insurance underwriting compliance clinical research customer support you legal discovery, construction claims, insurance underwriting, compliance, clinical research, customer support, you
Your Document Corpus
PepsiCo Q1 2022
Earnings Call
Walmart Q1 FY2023
Earnings Call
P&G Q3 FY2022
Earnings Call
Costco Q2 FY2022
Earnings Call
Coca-Cola Q1 2022
Earnings Call
Unilever Q1 2022
Earnings Call
Kraft Heinz Q1 2022
Earnings Call
Target Q1 FY2022
Earnings Call
Kroger Q4 FY2021
Earnings Call
Mondelez Q1 2022
Earnings Call
Colgate Q1 2022
Earnings Call
NestlΓ© Q1 2022
Earnings Call
General Mills Q3 2022
Earnings Call
Amazon Q1 2022
Earnings Call
Dollar General Q1 22
Earnings Call
Home Depot Q1 FY22
Earnings Call
Kellogg Q1 2022
Earnings Call
Conagra Q4 FY2022
Earnings Call
J&J Q1 2022
Earnings Call
Hershey Q1 2022
Earnings Call
Tyson Foods Q2 FY22
Earnings Call
Sysco Q3 FY2022
Earnings Call
Church & Dwight Q1
Earnings Call
Campbell Soup Q3 22
Earnings Call
+89 more documents
Charcoal Trace
The problem
Chunking.
Chunking.
Reranking.
Agent loops.
Complex queries still break. In legal, a missed exhibit. In construction, seven figures left on the table.
Even when it works, you overpay. Bloated context. Wasted tokens. Frontier prices for retrieval.
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.
Legal
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
8 contracts with caps under $1M
3 conflicts with master agreement Β§4.2
Healthcare
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
14 unreported adverse events across 3 sites
7 correlated protocol deviations
Finance
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
6 new risk factors added in Q3
2 material changes to revenue recognition language
Insurance
Does this claimant have any prior losses on file that conflict with their current submission?
524 documents Β· 4 search hops Β· 9 findings
3 prior claims with overlapping injury descriptions
1 inconsistency with current loss statement
Government
Are there any conflicting environmental impact assessments across these permit applications?
453 documents Β· 5 search hops Β· 16 findings
4 conflicting impact assessments for the same site
2 permits missing required EPA citations
Logistics
Which of our carrier agreements have force majeure terms that differ from our standard contract?
831 documents Β· 3 search hops Β· 11 findings
12 carriers with non-standard force majeure definitions
4 agreements missing pandemic coverage
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
01
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.
02
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.
03
RL checkpoints ship automatically
Feedback feeds into our RL loop. Improved model checkpoints are validated and deployed β no 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.
CTO
AI healthcare company
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.
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