Salesforce MVP Hall of Fame · Certified Partner since 2010
Jev for the decisions in between.
Your agents already make hundreds of small calls a day on a frontier model: which queue, which tool, is it done. Jev makes those calls in a fraction of a second, with a probability your code can act on. The first week is in the org, reading what already exists.
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
What we put in
The work on this layer.
The honest no: if the job is writing, arithmetic, or reading numbers off invoices, Jev is the wrong tool and we will say so.
Use cases
Where this shows up in the work.
These are the use cases we usually pair with Jev (TypeSafe).
Support
Support ticket routing
Every ticket to the right queue in one call. The unsure ones go to a person, not a guess.
Engineering and AI agents
Model routing
Jev picks which model answers each request. The cheap model gets the easy work. The expensive one earns its cost.
Sales
Lead scoring against your ICP
Each lead scored on the criteria you wrote down. Your code applies the weights. Sales sees why.
See the 100 use cases
Questions
What we actually say.
- Does Jev replace Gemini or Claude?
- No. Gemini or Claude writes. Jev decides. Most builds keep both.
- How do you connect Jev to agents?
- Through its API or an MCP server, called from Agentforce, ADK, the Claude Agent SDK, or n8n at fixed decision points.
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.
Tell us the process
Name the job a person still does by hand. We read the org and write what is worth fixing.
Certified Partner since 2010 · MVP Hall of Fame · 200+ agents in production · UAE and US desks