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.
AI & Applied ML
Production AI, not demos.
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.
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.
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 (Claude, open-weight, or your own), integrated, evaluated, and fine-tuned where it earns its keep. Technology-agnostic by design.
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.
- 01
Evals before hype
Every AI feature ships against a test set and measurable quality bar, not a vibe check. If we can’t evaluate it, we don’t ship it.
- 02
Humans own decisions
AI accelerates the work; a senior engineer owns every consequential call. That’s how you get speed without the slop.
- 03
Guardrails & observability
Grounding, safety filters, fallbacks, and full tracing so you can see and control what the model does in production.
- 04
Cost & latency by design
We right-size models, cache, and route so your AI stays fast and affordable at scale, not just in the demo.
AI in how we work
We don’t just build AI. 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 10 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.
Partnerships
The platforms this work runs on
We are a partner on both halves of the stack: the compute the models run on, and the governed data they learn from.
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. We work with leading foundation models (including 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, not months.