From intelligent AI agents and LLM-powered applications to advanced RAG pipelines and enterprise automation, we engineer AI systems built for the real world.
Eight disciplines that compound. We design them as one system, not eight services.
An agent is not a chatbot with a longer prompt. It is a runtime: a planner that decomposes intent, specialised workers that hold tools, a memory layer that carries state, and a verifier that decides when the job is actually done.
Hover a node to see what it does and where it sits in our architecture.
The control plane: routing, observability, evaluation, cost and guardrails.
Every engagement — because unmeasured AI in production is a liability, not a feature.
LangGraph · Bedrock · REST APIs
Automate repetitive operations and workflows with systems that handle exceptions instead of escalating them.
Enterprise knowledge assistants built on RAG and vector search over your own documentation.
Conversational and support experiences that resolve, not deflect.
Complete products powered by LLMs and agents, engineered for production from day one.
Autonomous systems that complete complex, long-running workflows with verification.
Models connected to the systems and services you already depend on.
Understand business goals, constraints and the problems actually worth automating.
Design the AI architecture, data flow, evaluation strategy and failure modes.
Validate workflows fast against real data before committing to a build.
Build production-grade AI applications with tests, tracing and guardrails.
Connect models, APIs, databases and enterprise systems securely.
Continuously improve accuracy, latency, cost and operational efficiency.
We don't bolt a model onto a legacy flow. The architecture starts from what the model can and cannot be trusted to do.
Evaluation harnesses, tracing, fallbacks and cost ceilings ship with version one — not after the first incident.
Chunking strategy, hybrid retrieval, reranking and grounding checks tuned against your corpus, measured every release.
Stateful graphs with checkpoints and human-in-the-loop interrupts, not prompt chains held together by hope.
Permission-aware data access, VPC isolation and audit trails that survive a security review.
Systems that hold their latency and their margin as volume multiplies.
INKODR is an AI engineering company building intelligent systems for businesses ready to think beyond traditional software.
We combine modern AI models, intelligent automation, software engineering and advanced orchestration to build systems that don't simply respond — they understand, reason, and act.
Let's turn your most ambitious ideas into intelligent systems.