Custom AI agent development
Full build from use case to production — agents you own end to end.
AI Agent Development · AI-First · Results-Driven
An AI agent is a system that uses a large language model as its reasoning core, then connects to tools, APIs, and data so it can decide what to do and execute it — not just answer questions. AI agent development is the work of designing that decision loop, wiring the integrations, and constraining behavior so the agent acts predictably. For businesses, it turns generative AI from a novelty into software that finishes tasks.
The hard part is rarely the model; it's reliability. Production agents need scoped permissions, retries, logging, evaluation sets, and clear fallbacks when they hit uncertainty. Teams that skip these ship demos that impress once and fail in the wild. A sound build starts narrow — one workflow, one system of record — proves accuracy, then expands. Tool design and context engineering matter far more than which foundation model you pick.
We build agents against your actual stack rather than a sandbox, so what passes review is what runs on day one. Every agent ships with observability and a kill switch, because trust is earned through visibility, not promises.
What we build
Gather, read and summarize across your docs, data and the web.
Learn more →Write emails, replies, proposals and reports in your voice.
Learn more →Classify, prioritize and route tickets, leads and inbox items.
Learn more →Take multi-step actions across your tools and APIs, end to end.
Learn more →Answer, resolve and escalate in chat, email and inside your app.
Learn more →Answer staff questions from your own data and get tasks done.
Learn more →Services
Full-cycle AI agent development services — from a first working pilot to a fleet of agents integrated across your stack.
Full build from use case to production — agents you own end to end.
Conversational assistants grounded in your data and workflows.
Wire agents into your CRM, email, databases, internal tools and third-party APIs.
Ground agents in your documents and data for accurate, sourced answers.
Testing, safety rails and observability so agents stay reliable in production.
Care plans for model updates, new skills and monitoring after launch.
Technology
The exact toolset depends on your goals — these are the platforms we use most, and we work with whatever your team already relies on.
Chosen per project — not a fixed menu. Have a preferred tool or platform? We’ll work with it.
Built to last
Your data stays yours — we deploy on your infrastructure or a private cloud, with access controls, encryption and no training on your data by default. Sensitive workflows keep a human in the loop.
Every agent and automation ships with monitoring, guardrails and fallbacks, so it behaves predictably in production and you can trust it with real work.
Who we build for
20+ years across sectors — in Houston and internationally.
Transparent pricing
Pick what you’re building for an indicative range, then request an exact quote. No email wall.
Simple prices for typical tasks
Proof
See the products and growth work we’ve shipped across industries — and request a case study relevant to yours.
How we work
A short discovery call turns your idea into a clear spec and a firm range — free.
UX, data model and stack chosen for your scale, not ours.
Working software every 1–2 weeks — you see progress, not promises.
We ship, measure and keep improving with care plans.
FAQ
Most custom AI agents land between about $12,000 for a focused single-task agent and $60,000+ for a multi-step system that acts across several tools. Exact cost depends on the number of tools, data sources and guardrails — use the estimator above for an indicative range, then book a call for a firm quote.
An AI agent is software that uses a large language model to plan and complete multi-step tasks on its own — it reads context, decides what to do, and acts by calling your tools and APIs. It can research, draft, triage and update records, then hand off to a person when needed.
A first working agent typically ships in 3–6 weeks; a multi-agent system that acts across several tools takes 2–3 months. We build in 1–2 week sprints so you see it running on real tasks early and often.
A chatbot mainly replies to messages; an AI agent takes action. An agent plans multi-step work, calls your tools and APIs, and completes tasks — researching, drafting, triaging and updating systems — rather than only answering questions.
We build with leading models from OpenAI and Anthropic, plus retrieval (RAG), vector search and automation tools like n8n and Make — chosen per project for accuracy, cost and maintainability, not lock-in.
Yes. We design security in from day one — scoped tool access, role-based permissions, encrypted data and audit logging — and we can run cloud-native agents in your own AWS, Azure or Google Cloud so sensitive data stays under your control.
Yes. Agents connect to your CRM, email, databases, help desk and internal apps through their APIs, so they act inside the systems you already use instead of adding another silo.
Yes. After launch we offer care plans covering monitoring, model updates, new skills and guardrail tuning, so your agents stay accurate and reliable as your data and tools change.
Yes. We are based at 9800 Richmond Ave in Houston (Westchase / Energy Corridor) and build AI agents for Houston businesses locally as well as clients nationwide and worldwide.
Work with one team
Book a free consultation — we’ll pinpoint the automation with the fastest payback.
Knowledge hub
How much does AI automation cost in 2026? Real price ranges for chatbots, voice agents and workflows, plus the factors that drive cost. Full breakdown inside.
Read · 8 min →AI AutomationAI lead follow-up for dealerships and repair shops: missed-call text-back, 24/7 chat, and voice agents that answer every lead in seconds, day or night.
Read · 5 min →AI AutomationAI agent vs chatbot: how they differ in autonomy, tools and tasks, when to use each, and how they work together. A clear side-by-side comparison.
Read · 7 min →