AI model router · built for repeatable work
Omev recognises the job, applies your rules, routes it between our own models, checks the result and repairs failures. You get one OpenAI-compatible endpoint and a different execution path for each type of work.
Optimise the cost of work your team accepts—not merely the price of the first generation.
$5 free credit · 10 days · no card · Keep your current provider connected
Router is an overloaded word
Both approaches can be useful. The choice is whether your team wants access to many named models—or wants one repeated business job to arrive already checked against its own rules.
Typical AI gateway or LLM router
Omev AI router
Need a particular third-party model, provider failover or a broad catalogue? Keep that work on a gateway or direct API. Omev is for the repeatable tasks where the finished result matters more than the model name.
Try the idea
Choose a workload. The input, rules, model path and checks change together—without turning your application into a growing pile of one-off logic.
The job
What good means here
What Omev does
Business result
A product record ready for your team to review, with the cheaper path used whenever it passes.
Measure: Cost per publish-ready SKU
Illustrative routes. Your rules and the model sequence come from the benchmark on your own work.
One connection, fewer exceptions
Product data needs factual discipline. SEO needs intent and links. Social content needs each client's voice. Omev keeps those rules attached to the job and returns work in the form your team expects.
Your engineers still own when to call Omev and any independent service-level fallback. Omev owns the model choice, checks and repair inside the route you benchmark with us.
What happens after signup
Every registered customer can get a tailored route. The first goal is not to move everything. It is to prove one repeated job against the output and cost you have today.
Register and share a sample of production requests. Omev automatically groups them by task type and establishes your current models and cost baseline from the information you provide.
You leave with: Your tasks and baseline
Agree the required facts, format, voice and quality criteria. Omev benchmarks its own models and sequences against those requirements and your current output.
You leave with: Criteria and measured results
Omev builds your routing policy and provides an OpenAI-compatible endpoint. Start with one task type; model selection, validation, repair and fallback run on our side.
You leave with: Your policy and endpoint
Omev collects cost, latency, validation and retry telemetry. Production results feed automatic routing improvements measured against your acceptance criteria.
You leave with: A policy informed by real results
Best first workloads
A strong first job has meaningful volume, stable input, clear rules and a result your team already knows how to approve.
Turn recurring catalogue work into publish-ready records with exact facts and required fields.
See the workload →
Refresh metadata, pages and internal links against a repeatable content brief.
See the workload →
Keep voice, forbidden phrases and channel format separate for every client or brand.
See the workload →
Apply glossary, terminology, format and market rules to every batch.
See the workload →
Give each client a separate set of rules, checks and cost view.
See the workload →
Classify and enrich high-volume text without paying a general model for every document.
See the workload →Questions before you route a workload
An AI router decides how a request should be handled instead of sending every job through the same model and workflow. Omev first identifies the business task, applies your rules, selects from its own models, checks the result and repairs or retries it when required.
Not always. A gateway commonly gives one access layer to several third-party models and providers. Omev is not a marketplace for outside models. It runs the task workflow between Omev's own models and measures whether the finished result meets your agreed criteria.
No. Omev routes work between its own models and model sequences. Keep a direct provider or gateway when you need a named third-party model, a broad model catalogue or provider-level controls.
It is the full cost of generation, checks, repairs and retries divided by the results that meet your requirements. It is more useful than token price alone because rejected work still consumes budget and review time.
No. Start with one repeated task you can measure clearly. Keep your current provider connected and move only the share that passes the benchmark and your operational checks.
After registration, share a representative sample of real requests and the result your team accepts. Omev groups the work by task type, agrees the facts, format and quality checks with you, benchmarks its own models and builds the routing policy around those results.
Omev provides an OpenAI-compatible endpoint for supported text calls. Your technical team should verify the request fields and failure handling for the task being moved; the public API documentation covers those implementation details.
It is available to every registered customer. The safest start is one workload with clear acceptance criteria, then expand after the production results hold up.
Bring a representative sample, your current baseline and the rules a finished result must pass. We will follow up personally and build the first routing policy around that evidence.
Benchmark My Workload →