Reliable AI systems, shipped to production at unrivaled speed.
AI Implementation That Hits the Bottom Line
What We Do
LLM-powered features built like real products — evaluated, monitored, and engineered for production from day one.
Make AI production-ready. Deployment, observability, cost control, and model routing for systems that actually serve users.
Multi-agent systems that ship. MCP servers, tool-use patterns, and orchestration designed for reliability — not just demos.
Production web applications, end to end. From schema design to UI polish, shipped with the rigor of a senior engineering team.
Ship faster and sleep at night. CI/CD pipelines, cloud infrastructure, and operational tooling that scales as you grow.
Design decisions that age well. System architecture, service boundaries, and API contracts informed by years of production scars.
Measurable Results for Growing Teams
The Fastlane to Production
Built for Speed, Engineered for Results
How We Bring Ideas to Life
Measurable Results for Growing Teams
Order rework −38%
Insights & Resources
Let’s Talk
Everything You Need to Know
Fastlane AI is a product-focused engineering studio. We design and ship full-stack software for startups and growing teams — with deep specialization in AI-native products, from chat assistants and agentic workflows to RAG pipelines, evaluations, and the production infrastructure around them.
We work with founders, IT companies, and agencies that need a senior team to build (or rebuild) their core product. Most clients come to us when they need to ship something AI-native, modernize a legacy stack, or accelerate a roadmap they don't have the bandwidth to deliver alone.
Yes. Building AI-native products is one of our strongest areas — LLM agents, RAG pipelines, prompt engineering, evals, multi-modal experiences, and the production infra (caching, observability, fine-tuning) that turns prototypes into real products. We use Anthropic, OpenAI, and open-source models depending on what fits the problem.
Yes. We handle the full arc — discovery, product strategy, design, engineering, infrastructure, and launch. We can also plug into an existing team and own a specific surface area: an AI feature, a backend rewrite, a redesign, or a critical migration.
Most projects start with a short discovery (1–2 weeks) where we scope the work, then move into focused build sprints. We work in two-week cycles with a shared Slack channel, a live roadmap, and a weekly demo so you always know exactly what shipped and what's next.
Yes. After launch we offer maintenance, monitoring, and continued iteration — whether that's an SLA-backed support retainer, on-call coverage for AI infrastructure, or ongoing feature development as your product evolves.
Absolutely. We regularly augment in-house teams as a senior product and engineering pod. We adopt your tools (GitHub, Linear, Slack, your stack) and follow your code review and shipping process so it feels like one team, not a vendor.
We run on async by default — Loom updates, weekly written summaries, and a shared dashboard showing what shipped and what's next. We're available on Slack during your business hours and jump on calls when something needs a real conversation.
Pricing is project- and scope-specific. After a discovery call we send a written proposal with a clear estimate, milestones, and timeline. Engagements typically run as a fixed-scope project fee or a dedicated monthly retainer — whichever fits the work best.
Every engagement starts with a discovery conversation to understand goals, constraints, and timeline. From there we put together a written scope and estimate sized to your needs — from a focused two-week sprint to a multi-month product build. Nothing moves forward until the scope and price are reviewed and approved on both sides.
A clear statement of work, IP assignment (you own the code), confidentiality, and a payment schedule tied to milestones. Contracts are designed to protect both sides and stay easy to reference as the project evolves.
Project fees are usually split across milestones tied to kickoff, scope checkpoints, and delivery. Retainers are billed monthly. We invoice via Stripe (cards, ACH, wire), Net-15 by default, and can adapt to enterprise procurement when needed.