Salesforce MVP Hall of Fame · Certified Partner since 2010
Tax document classification
Every page labelled by form and page type. OCR still reads the numbers. Jev only sorts.
Certified Partner since 2010 · MVP Hall of Fame · 200+ agents in production · UAE and US desks
- 01Models · Claude, Gemini, OpenAI, Bedrock
- 02Agents · Agentforce, CrewAI, ADK, A2A
- 03Memory · Neo4j, Cognee, RAG
- 04Identity · IndyKite, SSO, entitlements
- 05Governance · policy, audit, human override
The stack
How we would assemble it.
The honest no: if the work is a software factory with a named delivery date, we are the wrong partner.
The decision
The decision, drawn.
Choice IRS form + page kind with confidence gate
Jev · Choice
Which form is this page, and which part of the form?
- W-2
- 1099-NEC
- 1099-INT
- 1098
- K-1
- other
Page text after OCR: Form 1099-NEC, Nonemployee Compensation, Payer's TIN...
- 1099-NEC0.97
- 1099-INT0.02
- other0.01
The job
What has to be true.
Act at 0.90 confidence or higher. Below that, a person or a larger model.
The figure
Builder's figure. Not reproduced by us.
$0.001/page, 34x cheaper and 6x faster than prior LLM pipeline (open source)
apimodels.app/jev-use-casesWrite your house rules into the request. When rules were left out, Jev got 5 of 24 right with high confidence (Huryn). Validate thresholds on labelled samples.
The brief
Name the decision your team makes a thousand times a day.
We read the process and write down where Jev fits, where it does not, and where the line sits.