Agents that do the work, safely, in production.
Codinglimits designs, builds and operates agentic AI systems: software that plans, calls tools and completes multi-step business tasks with human oversight. We handle the full lifecycle, from use-case selection and architecture to retrieval, memory, evaluation, guardrails, deployment and LLMOps.
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What we deliver
- Agent strategy and use-case discovery, ranked by value and risk
- Single and multi-agent systems with tool use, retrieval (RAG) and memory
- Evaluation harnesses, red-teaming, guardrails and human-in-the-loop controls
- LLMOps: observability, cost control, model routing and continuous evaluation
- Model-agnostic builds across frontier and open-weight models, including our own industry-trained LLMs
The AI to AGI roadmap
Where each client sits today, and where we take them next.
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Frequently asked
What is an agentic AI system?
Software that uses a language model to plan steps, call tools and APIs, check its own results and complete a business task, with people approving the actions that matter.
How do you keep agents safe and auditable?
Every agent ships with an evaluation suite, guardrails on tools and data, human approval for high-impact actions, and full logging so each decision can be traced.
Do you build agentic AI systems for enterprises?
Yes. Our teams deliver agentic projects for customers today, run our own voice AI models, and train open-source LLMs for specific industry tasks.
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