Generative AI Products
From ideas to working AI features — safely and at scale.
RAG, copilots, and generative features embedded in your product — with guardrails, evals, and brand-safe outputs your customers can trust.
What we do in Generative AI Products
Gen AI demos are easy; production features are hard. Teams struggle with hallucinations, latency, cost, and security when moving from prototype to paying users.
We connect AI features to product outcomes — higher conversion, faster support resolution, and differentiated experiences competitors cannot copy with a generic chat widget.
Scalix Space builds with eval-driven development: retrieval quality, prompt versioning, and observability so your AI improves instead of drifting.
What's included
RAG Systems
Most popularKnowledge bases with citation, access control, and fresh document ingestion.
In-app Copilots
AI-drivenContext-aware assistants embedded in your existing UX flows.
Content Generation
Brand-tuned templates for marketing, support, and product copy.
Model Evaluation
Benchmarks, regression tests, and human review loops before each release.
Safety & Guardrails
PII filtering, policy checks, and escalation to human agents.
Cost Optimization
Routing, caching, and model selection to control inference spend.
How we work
Discovery
Define use cases, data sources, and success metrics for each AI feature.
Planning
Choose models, architecture, and compliance requirements upfront.
Design
UX for AI states — loading, uncertainty, citations, and errors.
Development
Build pipelines, APIs, and UI with eval harnesses from sprint one.
Testing
Red-team prompts, load tests, and quality gates before launch.
Launch & Support
Gradual rollout, feedback loops, and continuous model tuning.
Who it's for
Ship a differentiated AI feature before incumbents catch up.
Internal copilots on private data with enterprise SSO and audit.
Embed AI into core workflows — not bolted-on side panels.
Personalized recommendations and support assistants that convert.
Assistants with strict data boundaries and clinician review.
Tutoring and content tools with academic integrity guardrails.
Built with the right tools
Why teams choose us
Eval-first delivery
We ship with test suites — not hope — that outputs stay on-brand.
Security by default
Tenant isolation, encryption, and least-privilege data access.
Product-native UX
AI that feels built-in, not grafted from a generic widget.
Cost-aware architecture
Smart routing so inference bills stay predictable at scale.
Common questions
Most projects run 8–16 weeks for an initial release, with optional retainer phases. We scope timelines in discovery so you know what ships when.
Related services
Ready to start with Generative AI Products?
RAG, copilots, and generative features built for production — not demo day.
Talk about Gen AI products