Define the job
Specify the workflow, decision, user, and unacceptable failure before choosing a model or architecture.
Full-stack AI consulting & engineering
Full-stack AI consulting, from model to working system.
Gyde helps enterprises choose the appropriate AI intervention, build the production system, and establish the measurements and operating controls required for broader deployment.
One connected stack
Representative scope
Experience to evaluation
We work across the layers that determine whether AI creates a dependable business outcome.
Apps & workflows
Routing
Inference
Fine-tuning
Evals
01Business workflow first
02Production engineering
03Governance by design
The capability stack
Five consulting capabilities across the AI delivery lifecycle.
Enter at the layer where your system is constrained. Each engagement connects to the application, assigned owners, operating procedures, and measurable results required around it.
01
Apps & Workflows
Design AI applications for repeatable processes, with defined data access, actions, review points, and ownership.
Explore capability 02Routing
Choose the right model for each request based on quality, latency, cost, and policy.
Explore capability 03Inference
Benchmark, deploy, and operate models on owned, cloud, or sourced GPU capacity.
Explore capability 04Fine-Tuning
Adapt models to specialised behaviour when prompting and retrieval no longer close the gap.
Explore capability 05Evals
Define evaluation criteria, test representative cases, and connect results to release decisions.
Explore capabilityHow we think
Engineering choices follow the operating reality.
Build the control plane
Permissions, evaluation results, fallbacks, and human ownership are included in the initial product scope.
Support the next investment
Each engagement ends with working software and measurable results for a clear scale, change, or stop decision.
The engagement
Each phase answers a production question.
The initial scope is narrow. Each phase produces working software and a reviewable deliverable for the next decision.
1
Discover
Frame the opportunity
Align the workflow, baseline, constraints, owners, and production success measures.
2
Design
Choose the intervention
Decide what belongs in workflow, retrieval, routing, inference, tuning, and evaluation.
3
Deliver
Build the first workflow
Ship the smallest complete system that exercises representative data, controls, and integrations.
4
Decide
Review results before expansion
Evaluate quality, adoption, risk, performance, and economics before expanding scope.
Bring a defined business constraint
Tell us where your AI system is stuck.
We will help frame the smallest credible path from the current constraint to a production outcome.
Discuss your AI system