Products
Four accelerators — configured for your stack
Copilot, support agent, document pipeline, and mobile SDK templates we tailor to your IdP, integrations, and review workflows — typically live in 4–12 weeks.
Need something net-new? We build custom under Services. Accelerators are the fast path when the use case fits a proven pattern.
- Delivery model
- Template → tailor → deploy
- Typical timeline
- 4–12 weeks to production
- Governance
- RBAC & evals included
- Guided preview
- AI Copilot on request
Accelerators
Compare accelerators by category
Timeline, capabilities, and stack per template — full architecture and deployment detail on each product page.
Internal knowledge assistant with secure RAG
AI Copilot Platform
Deploy a private copilot over your docs, wikis, and tickets — with citations, access control, and evals.
Typical timeline · 6–10 weeks typical
- 60% faster internal support resolution
- Reduced onboarding time for new hires
- Audit-ready knowledge access
Key capabilities
- Hybrid search over private corpora
- Role-based access control
- Citation-backed responses
- Continuous eval & feedback loops
Common stack
Related practice
Delivered under our Secure RAG & Knowledge Systems practice — same standard as our live products.
How it works
From template to your production environment
Discover maps your corpus and integrations. Configure tailors retrieval, UI, and access on staging. Deploy promotes through your gates. Operate covers feedback and corpus governance — with IaC and runbooks at handoff.
Discover
Map corpus, integrations, and compliance constraints before we configure anything.
- Corpus & access model inventory
- Integration and IdP requirements
- Eval criteria and success metrics
You get a scoped configuration plan — not a generic slide deck.
Configure
Tailor retrieval, prompts, guardrails, and UI to your operators and brand.
- Custom retrieval & prompt layers
- RBAC and policy configuration
- Staging environment with golden-set evals
You review real answers on your data — with citations and access rules enforced.
Deploy
Eval-gated promotion to production with runbooks your team can operate.
- Production deployment & monitoring
- Operator training and admin docs
- Escalation and rollback runbooks
You launch with confidence — compliance and engineering signed off together.
Operate
Feedback loops, drift detection, and corpus governance so quality doesn't decay.
- Feedback capture & eval refresh cadence
- Drift and quality dashboards
- Optional retainer for model updates
You treat AI like software — measured, maintained, and accountable.
Buyer FAQ
What teams ask before deploying an accelerator
Need something beyond a template? Our full-stack services cover strategy, custom agents, MLOps, and interfaces — same squad, same discipline.
View servicesTry the copilot demo or book a configuration call
Walk through the live RAG demo, or send your corpus and integration list — we'll map Discover → Configure timelines for the accelerator that fits.