AI development services.
We design and ship AI systems that do real work: autonomous agents that run business pipelines, LLM integrations embedded in your products, and retrieval systems grounded in your own data. Not demos - production systems with monitoring, fallbacks, and cost controls built in.
The Problem
Most companies experiment with AI through disconnected chatbots and one-off prompts. The results are unreliable, expensive at scale, and never integrate with actual operations. The gap is engineering: treating LLMs as components inside a properly-architected system rather than magic boxes.
Our Approach
We start from the business process, not the model. We map where judgment is needed versus where deterministic code wins, design agent boundaries and human-review checkpoints, then choose models per task - routing between providers by cost, latency, and capability. Everything ships with evaluation harnesses so quality is measured, not assumed.
What we build.
Autonomous agent systems
Multi-agent pipelines that research, decide, and execute with human checkpoints where they matter.
LLM product features
Summarization, extraction, classification, and generation embedded natively in your software.
RAG & knowledge systems
Retrieval pipelines grounded in your documents, databases, and internal knowledge.
Model routing & cost control
Multi-provider routing across OpenAI, Claude, Gemini, Groq, and local models with budget guardrails.
Evaluation & monitoring
Test suites and dashboards that catch quality regressions before your users do.
Technology
Common questions.
Which AI models do you work with?
OpenAI (GPT family), Anthropic Claude, Google Gemini, Groq-hosted open models, and self-hosted models via Ollama. We route between them per task based on capability, latency, and cost - most production systems we build use more than one provider.
How much does an AI integration project cost to run?
Inference cost depends on volume and model choice. Part of our engineering work is cost design: caching, routing cheaper models for simple steps, and batching. We provide projected per-unit economics before you commit.
Can AI agents really run business processes unattended?
Parts of them, yes - with the right guardrails. We built MAK OS, an autonomous B2B acquisition pipeline that researches and qualifies leads with human approval gates at outreach. Full autonomy where it is safe, human checkpoints where it is not.