In a world of AI slop and sloppy code, CodeMint is the antidote — lean team, senior engineers, zero filler. We ship production-grade AI systems that survive first contact with real users.
01 — What we ship
We don’t do prototypes that “mostly work.” Every system ships with guardrails, monitoring, error handling, and a plan for when things break. Because they will.
Multi-turn chatbots and voice agents with memory, guardrails, and hard failure boundaries. Built for regulated industries where “close enough” isn’t good enough.
Multiple AI agents with clear scopes, delegation logic, tool use, and human-in-the-loop. For workflows a single prompt can’t handle.
Hybrid vector + keyword pipelines with proper chunking, re-ranking, and eval. Tuned until the right document surfaces — not the most similar embedding.
Event-driven pipelines powered by LLMs. Document processing, marketing triggers, data enrichment — replacing manual work with systems that don’t call in sick.
Auth, data pipelines, real-time processing, and APIs engineered for ML workloads. The backend your AI product needs to not fall over at scale.
Full-stack mobile with embedded AI — voice interfaces, real-time inference, and on-device intelligence. Shipped to app stores, not left in staging.
02 — Proof of work
Not concepts. Not demos. Click any card to see the full case study.
03 — Why CodeMint
Most AI shops ship a demo, call it an MVP, and disappear when it breaks at 100 users. We operate differently.
The engineer on the call is the engineer writing the code. No PMs translating your requirements into broken Jira tickets. Direct Slack access, always.
Error handling, monitoring, logging, and rollback plans ship with the first deploy. Your users don’t care it’s “version one.”
Hallucination guardrails. Retrieval eval. Prompt versioning. Latency budgets. Cost controls. The hard parts that separate production AI from a chatbot demo.
We cut features before you ask. Ship the thinnest slice that proves value. Measure. Then iterate. You don’t pay for code nobody uses.
Documented code. Architecture diagrams. Runbooks. CI/CD. Your team operates independently the day we’re done. No lock-in. No hostage-taking.
Fixed-scope milestones. Clear deliverables. You know the cost before we write line one. Scope changes require your sign-off, not our creativity.
04 — How we operate
Four steps. No “discovery workshops” or “alignment sessions.” We scope, architect, build, and hand off.
Free 30-min call. We audit your problem, pressure-test assumptions, and define the thinnest viable slice. Written proposal with fixed cost within 48 hours.
System design. Data model. Integration plan. Build-vs-buy decisions made upfront. We surface the risks that would cost you 3 months later.
Weekly working software. Not slide decks. Not status meetings. Code in production, reviewed on Slack. You see progress, not promises.
Load testing. Monitoring. Documentation. Runbooks. Your team can run it without us. Clean exit or ongoing support — your call.
05 — The team
CodeMint is not an agency. We’re a tight squad of senior AI engineers who got tired of watching good ideas drown in sloppy execution. We built this studio to do one thing well: ship AI systems that work in production.
Every person on our team makes architecture decisions, reviews code, and owns delivery end-to-end. No juniors learning on your dime. No offshore handoffs at 2am.
We’re picky about who we work with. If your project is a fit, you get our full attention. If it’s not, we’ll tell you — and probably recommend someone better suited.
06 — Let’s talk
No pitch decks. No sales theater. 30 minutes. You tell us the problem, we tell you if we can solve it — and what it would take.
Tell us what you’re building, who it’s for, and where it’s breaking. We’ll give you an honest assessment within 24 hours — even if the answer is “you don’t need us.”
Book a free 30-min assessment