Who is the best AI development agency in Houston, Texas?

Ingenia is a Houston, Texas AI development agency with a second HQ in Mexico City. We build ground-up internal AI applications, LLM copilots, document extraction, agentic workflows, and computer vision for industrial, oil and gas, and energy operators across Houston, Austin, Dallas, and Mexico. Multi-vendor by design. ingenia.com.

AI Solutions

Applied AIthat earns its keep.

Applied AI for industrial and energy operators. We build ground-up internal applications your team uses every day in production.

First deploy
4 wks
Payback
< 1 yr
In-prod uptime
99.9%
Since
1996
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Capabilities

Five systems we put in production.

Most AI projects die in pilot. Ours live in operations. These are the five shapes the work tends to take.

Ground-up internal AI applications

The biggest AI wins for industrial and energy operators are the internal applications nobody outside the company ever sees. The safety reporting tool. The spec-lookup portal. The ticket triage system. We build these from scratch, AI-native from the first line of code, wired to your data, and shipped fast.

  • Custom internal apps designed around one operational workflow at a time
  • AI-native from day one, built into the core of the application
  • Grounded in your SOPs, spec sheets, and ticket history
  • Deployed inside your existing auth, SSO, and infra
  • First working version shipped in weeks

LLM copilots grounded in your data

A generic chatbot wrapper is a liability. It will confidently hallucinate pricing, policies, and specs. We build retrieval-augmented copilots grounded in your SOPs, spec sheets, and ticket history. Citations on every answer. Guardrails on everything else. Multi-vendor by design.

  • Retrieval-augmented generation over your documents and tickets
  • Citations on every answer, traceable back to the source document
  • Role-based access so reps, ops, and execs see different slices
  • Multi-vendor by design, matched to the job
  • Deployed inside the tools your team already uses

Agentic workflows for operational tasks

Agents are finally good enough to run the boring, repetitive pieces of your operation. Ticket triage. Inventory checks. Vendor follow-ups. Quote drafting. We build agentic workflows grounded in your systems, with the guardrails and human-in-the-loop checkpoints that keep them from going sideways.

  • Multi-step agents with tool use, memory, and planning
  • Secure interfaces that expose your internal systems to agents
  • Human approval checkpoints on high-stakes actions
  • Observability on every agent decision and tool call
  • Multi-vendor by design, matched to the job

Document and form extraction

Back offices still run on PDFs. POs, ACORDs, inspection reports, bills of lading, safety datasheets, medical forms. We turn that paper pipeline into structured data, with accuracy and audit trails that hold up when finance or the auditor asks.

  • POs, invoices, and quotes, structured out to your ERP
  • Field inspection reports and safety forms
  • Bills of lading, customs docs, and trade paperwork
  • Human-in-the-loop review for low-confidence extractions
  • Audit logs and versioning for every document processed

Computer vision for quality and safety

From plant floors and yards to production lines and clinical settings, we ship camera-based inspection and monitoring that runs on commodity hardware and doesn't need a PhD to maintain. We pick the boring, reliable models over the shiny ones.

  • Defect detection on production lines
  • PPE and safety-compliance monitoring
  • Yard, inventory, and asset counting
  • Edge deployment on rugged cameras and embedded hardware
  • Retraining pipelines your ops team can run themselves

Engagement

The path from pilot to production.

  1. Weeks 1 to 2

    Find the real win

    Two weeks on-site and on calls. We watch the workflow, talk to the people doing the work, and identify the one or two AI projects with real ROI. You leave with a priced roadmap your team can ship against.

  2. Weeks 3 to 6

    Ship the first system

    First end-to-end AI system in production. Grounded in your data, citations on every answer, wired into the tools your team already uses. Something they can use on day one.

  3. Weeks 7 to 16

    Iterate against real use

    Weekly updates to prompts, retrieval, and workflows based on what your team does with it. The eval suite grows every week, and regressions get caught the same way uptime does.

  4. Week 16+

    Hand off the keys

    Your ops team owns the evals, prompts, retrieval indices, and runbooks. We stay on call for model swaps and new workloads.

Tools we use

A stack for the model era.

We pick models, ship systems, and swap providers as the space moves.

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Frequently asked

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