Hey, remind me to review the design files for the healthcare platform tomorrow at 4:15 PM please ...
Lumen
Listening…
Unified Product & AI Engineering
We’re the AI engineering department your business doesn’t have to build.
Hey, remind me to review the design files for the healthcare platform tomorrow at 4:15 PM please ...
Lumen
Listening…
AI agents, production software, and self-hosted infrastructure, engineered to deliver results from day one.
Automate the work your team shouldn’t be doing — across voice, chat, email & beyond.
Production-grade products built to scale to year three — not just demo day.
XTTS
Qwen
AWS
Ollama
Runpod
Own the AI you run. Private models, your infrastructure, zero third-party servers.
Audit, optimize, and monitor your AI in production. We catch what your team can’t see.
A repeatable system that takes you from discovery to deployed and optimized.
Discovery
We map your workflows, pain points, and technical landscape. You walk away with a clear scope and architecture plan.
Architecture
We design the system end-to-end — data flows, model choices, infra, and integrations — before a line of code ships.
Build
Tight iteration cycles with a senior team. You see progress weekly, not quarterly, and you steer as we go.
Deploy
We ship to your stack with observability, CI/CD, and safety rails in place. Rollout is monitored, not hoped for.
Optimize
Post-launch we tune prompts, models, and costs based on live telemetry. The system keeps getting sharper.
Recent projects we’ve taken from first conversation to deployed, measurable results.
Answers to the questions we hear from founders, CTOs, and operators evaluating an AI engineering partner.
An AI engineering firm builds and deploys the AI systems and software a business needs in production. At Credminds, that includes four things: AI agents that automate workflows across voice, chat, and email; full-stack product engineering for new and scaling products; self-hosted AI infrastructure that runs inside your own environment; and ongoing AI operations to keep production systems cost-effective and accurate. We work with companies that need senior engineering capacity without hiring a full in-house AI team.
It depends on what you're trying to accomplish. AI agents fit when you need to automate repetitive customer or operational workflows — support, scheduling, lead qualification, inbox triage. Self-hosted AI fits when data privacy, cost predictability, or compliance require running models on your own infrastructure. Product engineering fits when you're building a new product or scaling one already in market. AI operations fits when you've already shipped AI and need it tuned, monitored, and optimized. The first discovery call maps your goal to the right service — most clients don't know which one they need on day one, and that's normal.
Yes. We work with non-technical founders shipping their first MVP, technical founders scaling growth-stage products, and established businesses adding AI to existing operations. We translate business goals into technical scope, so you don't need an in-house engineering background to work with us productively. Our MVP-in-4-weeks offering is designed specifically for founders who need a production-ready product fast without an in-house team.
Pricing depends on the service and scope. Fixed-scope engagements like our 4-week MVP and 2-week AI operations audit are quoted as fixed fees, so you know the total cost before kickoff. Ongoing engagements — embedded product engineering pods or AI operations retainers — are priced as monthly retainers based on team size and sprint cadence. We share concrete numbers on the discovery call once we understand the scope. We don't bill hourly.
The first step is a 30-minute discovery call. We discuss your goals, scope the technical requirements, and recommend the service that fits — or tell you honestly if we're not the right firm for your specific situation. After the call, you receive a written proposal with scope, timeline, deliverables, and price. No work starts until the proposal is signed.
One conversation to discuss your goals, scope the technical requirements, and explore the right approach together.