We don't sell capability decks. We ship products. One team, full stack, AI-native from the first commit.
Decibel Labs is a full-stack engineering partner for founders who need more than developers. A team that embeds AI into every layer of what they build, from intelligent automation to LLM-powered workflows, with eval, observability, and compliance baked in.
Most agencies treat AI as a feature you bolt onto an existing product. We don't. Every engagement we touch begins from the assumption that intelligence runs through the architecture, the workflows, the codebase, the evaluation layer, and the people writing tickets at 2 a.m. when production hiccups. That assumption changes what we build, and how fast we build it.
The studio is purpose-built for founders who need depth across the stack and speed across the calendar. Our engineers work in pods of three to five, supported by an AI tooling layer we wrote ourselves, that automates the parts of the job that should never have been manual. The result is a velocity that compounds, a codebase that explains itself, and a team that ships in weeks what others quote in quarters.
Models, retrieval, agents, and evals as first-class citizens of the codebase, not afterthoughts.
One small team. Product, design, engineering. The same people from kickoff to production.
Every LLM workflow ships with eval suites, observability, and cost controls before launch.
SOC 2, HIPAA, GDPR baked into the foundation, not retrofitted at the enterprise contract stage.
We don't operate in silos. From idea to deployment, one team handles every layer, with AI embedded at every step, not bolted on after the fact.
We architect intelligent workflows powered by frontier models. Agentic pipelines, retrieval-augmented generation, and tool-using assistants that compound your team's leverage from day one.
Discovery sprints, design systems, and prototypes that test the riskiest assumptions first. We pair product strategy with high-fidelity UI so engineering starts with conviction, not guesswork.
Production-grade web and mobile applications accelerated by AI. Our engineers use AI-assisted code generation, automated testing, and intelligent debugging to cut build time without cutting corners.
SOC 2, HIPAA, and GDPR aren't checkboxes. They're architectural choices. We bake compliance, threat modeling, and audit trails into the foundation so you can sell to enterprise without re-platforming.
Whether you're validating an idea or scaling to enterprise, we plug in where you need us and bring AI capabilities that match where you are and where you're going.
We don't sell capability decks, we ship products. Here's what AI-native engineering looks like in the real world.
Six third-party integrations, AI-driven shift matching, and a production-grade scheduling engine, designed, built, and launched in 11 weeks from kickoff. The platform now serves 14 hospital networks and routes thousands of shifts per month.
The compound effect of AI tooling and full-stack pods is measurable in days saved, weeks shipped, and quarters of runway recovered.
AI tooling from automated standup summaries to intelligent ticket triage gives your team back hours every week that compound into real velocity gains.
AI-assisted scoping, instant environment provisioning, and smart sprint planning mean your first production release happens in weeks, not quarters.
From kickoff to real users on the product. Our AI-accelerated delivery model gets you to meaningful adoption faster than any traditional agency.
Tell us what you're building. We'll show you how AI can make it faster, smarter, and built to last. First call within 48 hours, brief in seven days, kickoff in two weeks.