01
Quality on your cases
Which errors would send a complaint to the wrong team or make a statement summary unusable? Count those errors against your current baseline.
Gyde Inference / scoped enterprise pilots
Test one AI workload under your rules
For one workload, test whether a model handles your cases, whether requests stay within your rules, and what an acceptable result costs. Gyde compares models, serves a scoped pilot through an approved route, and records the results for your decision.
Available for scoped enterprise pilots. Deployment geography and operating model are agreed per engagement.
GYDE / INFERENCEILLUSTRATIVE PILOT FLOW
ONE WORKLOAD / PILOT PATH
01WorkloadTask + test cases
02ModelQualified candidate
03PolicyAllowed route
04ServingApproved capacity
05EvidenceOutcome + cost
Decision: proceed, redesign or stop
01Business problem
A good model score does not tell you whether you can use it.
A complaints classifier might work on public data but miss the categories your team uses. The same pilot must test the data path, failed requests and delivered cost.
02
An approved data path
The model cannot be used if requests, logs or fallback traffic reach a provider or region you have not approved.
03
Cost and interruption
A cheap GPU is not a cheap service if requests fail during replacement or standby capacity changes the bill.
02What you receive
The pilot should answer three buying questions.
The review brings together model quality, the approved data path and operating cost. Savings and production availability are not assumed.
| Buyer question | Evidence from the pilot |
|---|---|
| Is it good enough for this task? | Frozen comparison with your baseline, severe-error counts and the amount of human review needed. |
| Can we run it under our rules? | Approved data-flow and policy record, provider and region checks, and a failure drill. |
| What does an accepted result cost? | Successful, quality-acceptable request count with estimates and billed charges shown separately, including standby and failed starts where available. |
03Gyde's approach
Test the task, approve the route and run the service.
One workload definition ties the model test to the serving policy and operating record.
Test the task
Compare a model trained for the task, your current baseline and any permitted fallback on the same test cases.
See how the test worksApprove the route
Set the allowed location, provider, model, budget, fallback and purchase approvals before capacity is used.
Review deployment optionsRun and inspect
Serve through the approved path. Record where requests went, which succeeded or failed, and the available cost evidence.
Review the test results04Pilot candidates
Start where errors and review ownership are clear.
01
Complaint operations
Test category suggestions using the institution's own complaint categories. Define the review step in the pilot.
See the complaint use case02
Statement analysis
Explore transaction labels and calculated summaries in a pilot. Current evidence is limited to a small line-label test.
See the statement use case03
Other structured tasks
A classification or extraction task can work if your team can supply cases, a baseline and an owner for exceptions.
Estimate your workload's cost05Current status
What is proven, and what needs a pilot.
01
Demonstrated in controlled tests
Model and operational tests exist under documented conditions. See their limits alongside the results.
Review results and limits02
Deployed, still in live acceptance
Supplier integrations and the control plane have been exercised in one geography. Some controls are deployed but are not yet proven under live load.
Review the current setup03
Customer deployment design
Customer-cloud and customer-site arrangements need design, packaging and acceptance in the buyer's environment.
Compare deployment options06Next step
Bring one workload and your current baseline.
Name the errors you cannot accept, where the data may go and who owns the result. Gyde and your team can then agree on the test, deployment conditions and pass/fail criteria before traffic starts.
Design a pilot?Buyer questions
Questions to settle before a pilot.
What is Gyde Inference?
Gyde Inference is a scoped pilot to test whether a model can do one task under your quality, data location, budget and operating rules. Gyde compares models, serves through an approved route and records the result so your team can decide whether to continue.
Can it run in our cloud?
A customer-cloud deployment can be assessed as part of a pilot. The current prototype is not a packaged customer-cloud install.
Does the system make lending decisions?
No. Models can support routing, extraction and triage with human review and lender-owned decision rules.
Gyde Inference pilot
Start with a workload you can measure.
Describe the task, data boundary and decision you need to make. We will scope the test and operating conditions together.
Discuss a workload Do not submit sensitive records through the marketing form.