Compare with evals, flags and gateways
Your stack answers most of this. It stops where the contract starts.
The eval platforms really do own scoring, LaunchDarkly really does own targeting, the gateways really do own enforcement. Synvolv is not a replacement for any of them.
- Eval platformsScore the change
- Feature flagsTarget the release
- AI gatewaysRoute and cap requests
SynvolvPer customer
- Score by customer and plan
- Block on a contract or entitlement
- Roll back named customers
- Attribute the change to margin
| Capability | Eval platforms | Feature flags | AI gateways | Synvolv |
|---|---|---|---|---|
| Score a change against replayed production trafficBraintrust, Langfuse and Arize are built for exactly this | 1 | |||
| Segment that score by customer, plan and languagePossible with enough tagging discipline; not the default | Partly | |||
| Target a release by customer attributeLaunchDarkly's core competence, and it is good at it | Partly | |||
| Block a release on a contract or entitlementRequires the commercial record, not just the flag | 2 | |||
| Roll back two named customers, not the releaseCohort rollback exists; per-customer with a reason does not | Partly | |||
| Enforce the customer's policy at request timeGateways route and cap; they do not know the plan behind it | Partly | 3 | ||
| Attribute the change to a customer's marginCost is visible; contribution margin per account is not | Partly | 2 | ||
| Record decision, evidence, action and outcome as one historyThe thing that compounds — and the thing nobody keeps |
- 1 When permission and data make replay possible.
- 2 When commercial context is connected.
- 3 Through your current gateway, application controls, or the optional Synvolv Gateway.
When the tool you have is enough.
- Eval platforms
- If the question is whether a change scores better before it ships, on data you choose, an eval platform answers it.
- Feature flags
- If you need to target by attribute, roll out by percentage and roll back a cohort, a flag system already does it.
- AI gateways
- If the job is routing, budgets and spend caps per key or team, a gateway is the right layer.
The difference is not that LaunchDarkly cannot target a customer. It is that Synvolv decides whether the release is technically, behaviourally and commercially valid for that customer — and then keeps the record of what happened.
Three things have to be true for this to work on your stack.
If any of them is missing today, Synvolv cannot make a per-customer release decision, and we would rather you knew that now.
Each AI request carries a customer
A tenant, account, organisation or workspace identifier already on the request.
Current and candidate can both run
Two prompts, two models, two agent versions — whatever the change is, both sides are callable at the same time.
One place decides which one runs
A gateway, a flag, a router, a config lookup, or a branch in your own code. Synvolv resolves the decision; that place applies it.
Nothing on this list is infrastructure you have to adopt.
Find out who it changes before your customers do.
Start with the change your team is already debating. An engineer reviews it against about seven days of your traces.
It starts read-only, in shadow mode. Nothing changes in production until a person approves.
