AI Infrastructure & MVP
From concept to running software in weeks. We architect scalable AI infrastructure, secure vector retrieval pipelines (RAG), and tailored client-facing frontend applications.
Target Operational Benchmarks
Time to MVP Launch
21 Days
Retrieval Latency
110ms
Uptime SLA
99.9%
Engineering Without Compromise
Launching an AI-driven tool or internal operations platform requires solid infrastructure: low latency, robust data isolation, rate limit handling, and a clean user interface. We build production-ready MVPs and infrastructure layers that stand up to enterprise compliance and scale without ballooning cloud bills.
What's Included in the Deployment
Serverless & Cloud Deployment
Modern cloud infrastructure configured with automated CI/CD, secret management, and elastic scaling.
Vector Retrieval & Semantic Search
High-speed embeddings indexing with Supabase Vector, Pinecone, or pgvector for sub-100ms semantic lookup.
Bespoke Frontend UI & Portals
Polished React and Next.js interfaces with responsive layouts, authenticated user workspaces, and live streaming text.
Cost & Token Guardrails
Granular rate limiting, response caching, token quotas per user, and comprehensive usage telemetry.
Real-World Use Cases
How fast-growing companies utilize this specific solution to save time and drive revenue.
Internal Knowledge Base Retrieval
Solution: Secure semantic search over 10,000 internal PDFs, SOPs, and customer transcripts with source attribution.
Measurable Outcome
Employees find verified answers in 3 seconds instead of 25 minutes.
SaaS AI Feature Pre-Launch
Solution: Rapid build of user-facing generative AI tools with Stripe billing integration and role-based permissions.
Measurable Outcome
Shipped MVP to first 100 paying beta users in under 3 weeks.
Measurable Outcome
4-Step Implementation Process
Data Model & Security Spec
Define database schemas, vector embedding strategies, and role-based access rules.
Backend Engine & Pipeline Build
Implement API routes, streaming connectors, vector indices, and error handlers.
Frontend UI & Authentication
Build responsive client dashboards, session management, and telemetry feedback loops.
Security Audit & Cloud Launch
Load testing, rate-limit stress tests, security token rotations, and production launch.
JurisFlow: Autonomous Contract Analysis & Client Portal
Engineered a secure, SOC2-compliant document ingestion pipeline that extracts key clauses, flags compliance deviations, and syncs directly to partner review portals.
Frequently Asked Questions for AI Infrastructure & MVP
Is our proprietary business data used to train public AI models?
Never. We exclusively use commercial enterprise API agreements with OpenAI, Google, and Anthropic where zero data is retained for training, alongside strict row-level security on your dedicated database.
Deploy AI Infrastructure & MVP With Rapid Turnkey Sprints
Book a discovery call to review your current bottlenecks and map out an implementation roadmap.
Schedule Discovery Call for AI Infrastructure & MVP