Prebuilt components for RAG, chat/copilots, doc processing, and decisioning—packaged with UI, APIs, and governance to go live fast.
Cart
(
0
)
Your Cart
No items found.
Product is not available in this quantity.
GenAI Feature Accelerators are ready-to-integrate building blocks for standard AI capabilities. Each accelerator ships with safe defaults, UI patterns, and APIs so teams can add RAG search, chat/coplots, document processing, and decisioning quickly—without months of custom work.
We assemble a thin slice from your goals and tech stack, then plug in accelerators via adapters (auth, data, and tools). Feature flags, evaluations, and telemetry verify accuracy, latency, and cost. You keep your cloud and data; we provide patterns to launch and scale confidently.
A production slice with a selected accelerator set: RAG bundle (ingest, chunking, hybrid search), chat/copilot UI with actions, prompt/eval registry, policy guardrails, analytics, and SDKs. Documentation, handoff checklists, and KPIs ensure quick adoption by product and engineering.
Security, privacy, and accessibility are built in—SSO/SCIM, RBAC, audit logs, PII handling, WCAG checks. Caching, quotas, and model routing manage cost. Canary releases, holdouts, and human-in-the-loop reviews keep behavior safe as adoption grows.
Prebuilt components for RAG, chat/copilots, doc processing, and decisioning—packaged with UI, APIs, and governance to go live fast.
Yes. We integrate with your cloud, data stores, and identity. No data leaves your control.
Highly—swap models, adjust prompts/policies, change UI patterns, and add tools via adapters without a rewrite.
Golden sets, offline/online evals, and live telemetry track accuracy, latency, safety, and cost per task.
First insights in two weeks; a production thin slice with selected accelerators typically ships in 8–12 weeks.
Caching, quotas, and model routing control spend; guardrails, approvals, and audit logs ensure safe, compliant operation.
.svg)
.png)
