StrataHub · Technology & SaaS
AI-Native Products
Embed LLM integration, RAG systems, and agentic workflows directly into your product without building an ML team from scratch.
We co-build inside your operational reality, not around it. That means understanding your data environment, your compliance requirements, and your team's actual constraints before we propose a solution. Then we ship.
Enterprise AI software spend in 2026
Gartner 2025
Enterprises deploying GenAI apps by 2026
Gartner 2025
Enterprise apps featuring AI agents by 2026
Gartner Aug 2025
Capabilities
What we build in Technology & SaaS
LLM Integration
End-to-end LLM integration: model selection, prompt engineering, evaluation harnesses, and production deployment with observability baked in, not bolted on.
RAG Systems
Retrieval-Augmented Generation pipelines built for your knowledge base: chunking strategy, embedding selection, vector store design, and eval-driven iteration until hallucination rates meet your bar.
Agentic Workflows
Multi-agent systems with scoped tool access, deterministic fallbacks, and human-in-the-loop checkpoints, designed to stay reliable at scale, not just in the demo.
AI Product Co-development
Full-stack co-build: AI architecture, API design, frontend integration, and production deployment, your team ships faster and owns the result entirely.
Work we’ve shipped
Recent engagements in Technology & SaaS
Consent intelligence platform
Co-built LLM workflows for intelligent consent capture, classification, and enforcement, embedded directly into a regulated product workflow.
AI-native product shipped to production in weeks
Agentic sales workflows
Production agents that triage, enrich, and follow up on inbound leads inside the existing GTM stack, no human intervention required on the first pass.
Sales cycle meaningfully compressed
LLM product co-development
Full-stack co-build from RAG pipeline architecture to production deployment, the team shipped an AI-native MVP without hiring a dedicated ML team.
Zero to production in weeks
Get started
Ready to build AI that works in your technology environment?
Tell us about your problem. We'll be direct about what AI can realistically deliver, and how fast.