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AI Integration Services in Austin, TX

Austin is full of SaaS founders thinking about AI features in their product. The good ones are not building chatbots — they are wiring LLM inference into a specific step in their customer's workflow where the model genuinely helps. The bad ones are building demoware. The difference is engineering discipline, and that is what we ship.

The problem with off-the-shelf AI in Austin

Most Austin pre-seeds get pitched generic AI feature shops or offshore prompt engineers. Senior-engineering AI integration that ships clean code, real evaluations, and full source-code handoff is rare. We fill that gap.

Real AI integration means picking the right model for the right step, wiring it into your existing data layer, and building eval-first so prompt regressions get caught before they reach production. For Austin buyers specifically, that means AI shaped for SaaS founder AI integration — not a generic chatbot.

What we ship for Austin buyers

Product-embedded LLM features

Smart defaults, summarization, classification, and drafting inside your SaaS product — wired into your Postgres source of truth.

RAG over customer data

Postgres + pgvector RAG with per-tenant isolation. Tenant data never leaks across the embedding boundary.

Eval-first prompt development

Real test sets, scored against real customer data, with regression runs on every prompt change.

Cost + latency budgets

Per-call cost and latency budgets enforced at the integration layer. No surprise OpenAI bills.

Tech stack

OpenAI (GPT-4 class)
Anthropic Claude
AWS Bedrock
Azure OpenAI
Ollama / vLLM
Postgres + pgvector
TypeScript
Next.js 15
Docker

LLM-vendor-agnostic abstraction so you can switch providers without a rewrite. Postgres + pgvector for RAG.

Reference builds

Austin-relevant AI reference work includes J5 Sales OS (sales operations with AI-assisted lead routing and summarization), the AI features in our contractor estimating engine, and the prompt-engineering discipline across client work. Same patterns ship into an Austin SaaS pre-seed building AI-first product features or a Series-A SaaS adding LLM workflows.

Reference work: J5 Sales OS, contractor estimating engine, and multi-strategy trading system.

How we work remote from Georgia

QUANT LAB USA is founder-led from Macon, Georgia. William Beltz runs every AI engagement from kickoff through handoff. Discovery is a structured workflow-mapping session; eval-first prompt development from week one; staging is live from week two.

For Austin buyers, that means full Eastern-time overlap, fixed-scope contracting against milestones, and on-site work when scope warrants. Book a scope call to walk through your workflow.

Pricing for Austin AI integration

Austin AI integration engagements typically scope between $20,000 and $85,000 sized to actual runway. Fixed-fee per phase, milestone-based.

We quote fixed-fee scope after a 30-minute discovery call. Engagements include the integration code, eval test sets, prompt versioning, and runtime cost-and-latency budgets. Source-code handoff at delivery. See our parent AI service page for the broader engagement model.

What you get

  • Full source code repository (yours, no lock-in)
  • Prompt library + eval test sets
  • LLM-vendor-agnostic abstraction layer
  • Cost + latency budgets at integration layer
  • Audit logging on AI workflow events
  • 30-day post-launch support included

Austin AI integration FAQ

Pre-seed Austin SaaS founders?

Yes — most engagements are pre-seed through Series A.

RAG over multi-tenant data?

Yes — per-tenant isolation at the embedding layer.

Central time overlap?

Full ET overlap from a Georgia HQ.

Survive Series A code review?

Yes.

Closed vs open-source models?

Depends on workflow.

Who owns the prompts and code?

You do.

Ship a real AI integration in Austin.

Call William Beltz directly at (770) 652-1282 or book a 20-minute scope call. Founder-led from quote to handoff.