AI that makes it to production — and stays there
Custom AI systems and models, engineered for your business
ColibriCode is a custom AI development company. We design, train, build and run AI for large industries and growing companies — from custom and fine-tuned models and multi-agent platforms to AI agents, voice agents and AI-powered apps — with security, governance and cost control built in from day one.
Tools and platforms we build with
- Google CloudMicrosoft AzureAWSKubernetesOpenAIAnthropic ClaudeOpen-weight LLMsPostgreSQLVector databasesPythonGoTypeScriptPHPReactWordPressDrupalShopifySalesforceHubSpot
Most AI projects stall after the demo
Most organizations have tried AI. Few run it at the core of their operations. Projects stall on the same questions:
Is our data and IP safe?
Will the model perform on our domain?
What will it cost at scale?
Who governs and maintains it?
ColibriCode answers all four — from the first model evaluation to production infrastructure.
Custom AI services, from enterprise platforms to focused agents
Custom models, platforms and infrastructure for large industries, delivered in phases.
Custom & Fine-Tuned Models
Models trained and evaluated on your data and terminology, deployed privately so your IP stays yours.
- Fine-tuned language models
- Reinforcement-learning-tuned models
- Small, fast specialist models
What custom AI can do for your operation
Six places where AI moves work from manual to managed, across industrial operations and customer-facing teams.
Predictive maintenance
BeforeEquipment fails between scheduled inspections
AfterModels flag failure risk early from sensor and maintenance data
Visual quality inspection
BeforeInspectors check samples by eye
AfterVision models inspect every unit and route only defects to people
Engineering knowledge
BeforeSpecs, manuals and records scattered across systems
AfterA private AI platform answers technical questions with cited sources
Claims and document processing
BeforeStaff retype and review every file
AfterAgents extract, validate and file data; people handle exceptions
Domain-specific model
BeforeGeneric AI misreads your terminology
AfterA fine-tuned model that speaks your industry's language, hosted privately
Customer and phone support
BeforeCalls and tickets wait in queues
AfterBilingual agents resolve routine requests 24/7 and hand off with context
From audit to AI in production in four steps
One team from the first workshop to the pager. Here's what you have at each milestone.
Step 1 of 4, 1–2 weeks
Audit
We map your workflows, data and cloud costs, and rank the AI opportunities with the fastest return.
You get: A ranked plan of AI opportunities
Step 2 of 4, 4–12 weeks
Build
A fixed-fee sprint delivers a working agent or app, tested on your real data.
You get: A working agent or app, tested on your data
Step 3 of 4, go-live
Launch
We deploy on secure infrastructure with monitoring, spend caps and a runbook your team can read.
You get: Secure deployment, monitoring, spend caps and a runbook
Step 4 of 4, every month
Operate and improve
Monthly managed service: uptime, model updates, cost reports and new automations.
You get: Uptime, model updates, cost reports and new automations
Timeline
1–2 weeks
4–12 weeks
Go-live
Every month
What you have now
A ranked plan of AI opportunities
A working agent or app, tested on your data
Secure deployment, monitoring, spend caps and a runbook
Uptime, model updates, cost reports and new automations
Choose how we work together
AI Audit / Technical briefing
- Best for
- Knowing where to start
- How it's priced
- Free briefing; fixed-fee audit credited toward a build
Enterprise AI program
- Best for
- Custom models, platforms, multi-system AI
- How it's priced
- Paid discovery, then phased fixed-scope milestones
Project build
- Best for
- One agent, app or migration
- How it's priced
- Fixed fee per milestone
Managed AI
- Best for
- Keeping AI running, governed and improving
- How it's priced
- Monthly plan
Engineering pod
- Best for
- An ongoing product roadmap
- How it's priced
- Monthly plan with quarterly goals
Why companies choose ColibriCode for AI development
A senior team that trains, builds and runs AI in production, including our own.
We run our own AI products.
Our team builds and operates an AI coding platform, a PHP framework and an email platform in production. We sell what we already use.
Model engineering, not just API wrappers.
We fine-tune, evaluate and serve large models on dedicated GPUs — including reinforcement learning on real usage data — and host them privately when your data cannot leave your control.
Security and cost built in.
Every project ships with spend limits, access controls and alerts from day one.
Senior-led, fixed-fee.
No billable-hour surprises. You approve scope and price before we start.
Bilingual, US time zones.
Denver-based leadership with a nearshore engineering bench across Latin America. We build in Python for AI, Go for scale and security, TypeScript for apps, and PHP for the web you already run.
ColibriCode vs. freelancers vs. large consultancies
| Criteria | Freelancer | Large consultancy | ColibriCode |
|---|---|---|---|
| Senior engineers on your project | Sometimes | Often juniors after the pitch | Always |
| Builds and runs infrastructure | Rarely | Yes, at enterprise prices | Yes |
| Pricing | Hourly | Large retainers | Fixed fee + monthly plans |
| Time to first result | Varies | Months | Weeks |
| Support after launch | Not guaranteed | Separate contract | Included in managed plans |
AI engineered for complex industries
Private where it must be, auditable where it matters, and focused on the work that slows your team down.
Built by engineers who ship
20+
years of full-stack engineering, enterprise web platforms and production AI infrastructure.
AI coding agent platform
MonkeysCode
Its own model serving on dedicated GPU infrastructure, quota controls and multi-agent orchestration.
Running in productionPHP 8.4 framework
MonkeysLegion
A modern framework and package ecosystem used as the backbone for client applications.
Running in productionEmail infrastructure
MonkeysMail
Transactional email infrastructure with a full dashboard.
Running in productionQuestions, answered
Something else on your mind? Email hello@colibricode.com
What does an AI development company do?
We design, build and maintain software that uses AI models — agents, assistants, document processing and AI features inside apps — plus the infrastructure they run on.
How much does a custom AI project cost?
Most engagements start with a fixed-fee AI audit. Builds are fixed-fee after scoping, and managed services are a predictable monthly plan.
Can you build a custom AI model for our company?
Yes. We fine-tune open-weight models on your data, benchmark them against your real tasks and deploy them privately. If an existing model already performs well enough, we tell you and save you the training cost.
Do you work with large enterprises?
Yes. We work under NDA and your security review, deploy in your cloud account or on-premises, and deliver enterprise systems in phased, fixed-scope milestones.
Can our data stay private?
Yes. We can deploy private models on dedicated infrastructure so your data is never used to train public AI models.
Do you work with companies outside Colorado?
Yes. We work with companies across the United States, remotely and on site when needed.
Find your fastest AI win in two weeks
A fixed-fee AI audit gives you a ranked list of opportunities, cost estimates and a build plan — yours to keep, whoever builds it.