Jev (TypeSafe)
Jev for the decisions in between.
Your agents 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.
Founded 2022 · Founder in the Salesforce MVP Hall of Fame · Dubai HQ · Kochi studio
- 01Models · Claude, Gemini, OpenAI, Bedrock
- 02Agentic systems · Agentforce, CrewAI, ADK, A2A
- 03Agentic memory · Neo4j, Cognee, IndyKite
- 04Automation and voice · n8n, Retell
- 05Deployment and governance · identity, evals, policy, audit
What we put in
The work on this layer.
The honest no: if the job is writing, arithmetic, or reading numbers off invoices without code finding them first, Jev is the wrong tool and we will say so. Photos work, but TypeSafe calls them a preview, so we only prototype with them.
How it flows
A closed question, decided and logged.
Ask
A typed question arrives
Will this customer pay? Is this the right document? Does this caller want a person?
Score
Jev returns a probability
No text, just the answer and how sure it is.
Route
Your threshold decides
Above it, the step runs. Below it, a person looks.
Log
The decision is kept
So a reviewer can see why the case went where it did.
The decisions in between
Three desks paying a frontier price for a yes or no.
Typical closed questions. Jev answers; the model that writes keeps writing.
Example · Illustration
Collections lead, Riyadh consumer lender
Today: Every “will this customer pay?” goes to a large model, at a large model’s price.
After: Jev returns a probability. Above your threshold the step runs. Below it, a person looks.
Banking and finance
Example · Illustration
Service lead, Dubai property manager
Today: Each tenant message waits while a large model decides which queue it belongs to.
After: Jev picks the queue in a fraction of a second, and each decision is logged for the reviewer.
Property management
Example · Illustration
Onboarding manager, Dubai corporate-services firm
Today: Staff open every upload to check it is the right document.
After: Jev answers “is this the right document?”, and only the unsure ones reach a person.
All Jev use cases
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.
All 100
See the 100 use cases
Ranked by Jev and filterable by function, each with its confidence rule and source.
New in Jev 1.14
Photo decisions (preview)
Delivery photos, job-done photos, ID scans and signatures. Prototype only until TypeSafe calls images production-ready.
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.
- Can Jev look at photos?
- Yes, as a preview since Jev 1.14 on 14 October 2026. It can judge a photo and say where something is in it. TypeSafe says this is not ready for production, so we prototype with it and keep a person on every answer. The use cases page lists eight photo decisions we would try first.
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. The assessment is free: a short read of the org and a written note. If you go ahead, the first build week is a fixed AED/SAR 14,900 (about USD 4,050), credited in full when you sign the build within 60 days.