--- title: "AI & Applied ML Development Services" description: "Production AI services: Tarmac ships GenAI, RAG, and agents into real products with the evals, guardrails, and pipelines to keep them reliable at scale." canonical_url: "https://www.tarmac.io/services/ai/" last_updated: "2026-10-07" --- [Services](https://www.tarmac.io/services/) / AI & Applied ML AI & Applied ML # AI that holds up in production. Everyone can prototype with an LLM. Tarmac ships AI that survives contact with real users: GenAI features, RAG, and autonomous agents, built by senior engineers with the evals, guardrails, and data foundation to keep them reliable in production. [Scope an AI project→](https://www.tarmac.io/contact/?source=services-ai) [See our work](https://www.tarmac.io/work/) What we build ## AI capabilities, wired into your product From a single smart feature to an end-to-end AI platform. One senior team across design, engineering, and data. ### Generative AI features LLM-powered search, summarization, drafting, and copilots embedded in your product, with prompt engineering, evals, and guardrails that hold up with real users. ### Agentic workflows Autonomous and human-in-the-loop agents that take multi-step work from input to validated result: tool use, orchestration, and the observability to trust them in production. ### RAG & knowledge systems Retrieval-augmented generation over your own data: chunking, embeddings, vector search, and grounding that cuts hallucination and keeps answers current. ### Predictive ML & data science Forecasting, recommendation, scoring, and classification models, trained, deployed, and monitored on a modern MLOps stack, accelerated by our Databricks partnership. ### Model integration & fine-tuning The right model for the job (OpenAI, Claude, open-weight, or your own), integrated, evaluated, and fine-tuned where it earns its keep. We are an OpenAI Select Partner and technology-agnostic by design: the use case picks the model. ### AI platform & data foundation The unglamorous layer that makes AI reliable: clean pipelines, feature stores, governance, and cost controls so your models have trustworthy fuel. Why our AI holds up ## The difference between a demo and a dependable feature The hard part of AI isn’t the prompt. It’s everything around it. These are the non-negotiables that keep Tarmac’s AI reliable once it’s live. 1. 01 ### Evals before hype Every AI feature ships against a test set and measurable quality bar. If we can’t evaluate it, we don’t ship it. 2. 02 ### Humans own decisions AI accelerates the work; a senior engineer owns every consequential call. That’s how you get speed without the slop. 3. 03 ### Guardrails & observability Grounding, safety filters, fallbacks, and full tracing so you can see and control what the model does in production. 4. 04 ### Cost & latency by design We right-size models, cache, and route so your AI stays fast and affordable at scale. AI in how we work ## We build AI, and we deliver with it Our senior teams use AI-assisted delivery to move faster, with a human accountable for every decision. You get the velocity of modern tooling and the judgment of engineers who average 14 years of experience. - Spec-to-PR tooling that turns a well-scoped ticket into a reviewed draft in a fraction of the time. - Automated code review and test generation that raise the floor on quality before a human ever looks. - Senior engineers acting as reviewers and architects, accountable for every merge. Proof, with numbers ## AI we have actually put into production A support desk that runs on it every day, with a human accountable for every change it proposes. [20 min down from two days, across 100+ inherited repositories Agentic support triage on Claude Code Read the INaudio case study→](https://www.tarmac.io/work/inaudio-agentic-support/) Partnerships ## The platforms this work runs on We are a partner at every layer this work touches: the models themselves, the compute they run on, and the governed data they learn from. - [**OpenAI Select Partner** Frontier models, agentic workflows, and the certification track behind them. →](https://www.tarmac.io/resources/openai-select-partner/) - [**NVIDIA Solution Advisor** Accelerated computing advisory, production inference, and GPU economics. →](https://www.tarmac.io/nvidia/) - [**Databricks Consulting Partner** Lakehouse platforms, pipelines, and the data foundation under the models. →](https://www.tarmac.io/databricks/) Questions, answered ## AI development FAQ Do you build production AI or just prototypes? Production. Anyone can wire up a demo. We ship AI features into live products with evals, guardrails, monitoring, and the data pipelines that keep them reliable, then support them as they scale. Which AI models and platforms do you work with? We’re technology-agnostic. Tarmac is an OpenAI Select Partner, and we also build on Anthropic’s Claude, open-weight models, and your own fine-tuned models, choosing the right one per use case. On the data side we’re a Databricks partner and work across AWS, Azure, and GCP. How do you keep AI features from hallucinating or going off the rails? Retrieval grounding, evaluation test sets, safety filters, human-in-the-loop checkpoints, and full observability. Every feature ships against a measurable quality bar before it reaches your users. Can you add AI to our existing product without a rebuild? Usually, yes. Most of our AI work augments an existing product (a copilot, smarter search, an agent that automates a workflow) integrated into your stack rather than replacing it. ## Have an AI idea that needs to actually ship? Tell us what you’re building. We’ll bring a senior team that turns it into a dependable, production-grade feature, usually within days. [Scope an AI project→](https://www.tarmac.io/contact/?source=services-ai) [info@tarmac.io](mailto:info@tarmac.io) ## Sitemap See the full [sitemap](https://www.tarmac.io/sitemap.md) for all pages on tarmac.io.