AI architecture & model strategy
Align foundation models, context engineering and inference choices with a real business problem. Balance capability, latency and cost across local and hosted models.
N dimensions. A different perspective.
Complex systems. Clear thinking.
AI consulting for models, agents and complex integrations. Intelligent interfaces that make the complicated work.
01 / The Endigm perspective
Endigm stands for N dimensions.
Because the best answer takes more than one point of view.
We bring business, engineering and design together. Seeing the connections others miss. Making complex operations understandable. Turning ambitious ideas into practical systems.
See how we think02 / Where we make the difference
From model and context strategy to connected agents, governed workflows and the interface your team uses every day.
Align foundation models, context engineering and inference choices with a real business problem. Balance capability, latency and cost across local and hosted models.
Connect AI to business systems through Model Context Protocol (MCP), APIs and well-defined tools. Shape access, context exchange and integration boundaries around your operations.
Design agents that plan, call tools, observe results and refine the next step. Use stateful graphs, explicit stop conditions and human checkpoints to structure complex work.
Bring the right information into the model’s context through retrieval-augmented generation (RAG). Use semantic search and knowledge graphs to connect evidence, entities and relationships.
Turn model reasoning, tool activity and workflow state into focused workspaces. Give people clear context, useful controls and a way to review what AI proposes.
Design local and cloud AI around data and operating constraints. Build evaluation loops, execution traces and recovery paths into the architecture as models and workflows evolve.
03 / Built as a whole
Great AI is a systems discipline. We connect models, context and tools through orchestration graphs, with explicit state, branching logic and feedback loops. Each connection serves the business and the people using it.
Bounded agent loops. Reviewable decisions.
Intelligence with accountability.
Stateful workflows. Feedback loops. Human checkpoints.
04 / Thinking, made tangible
Our own systems are a place to explore, build and refine the ideas we bring to client challenges.
ASTRA / AI OPERATIONS
Bringing local and hosted model selection, application context and data tools into a coherent interface. A practical workspace for model orchestration, operational visibility and explicit human control.
Connecting discovery, user stories and process graphs to reusable components and API, MCP and retrieval integration choices. Carrying that context into evidence-based release decisions.
Purpose-built workbenches spanning APIs, databases and AI-enabled workflows. Connecting data, context and tool execution with scoped access, reviewable changes and clear recovery paths.
05 / A considered way forward
Map the business context, people, systems and constraints before choosing the technology.
Define the model roles, MCP tools, retrieval paths and workflow graph. Establish boundaries and success criteria.
Build in reviewable steps. Trace tool calls, test agent loops and evaluate model outputs against real tasks.
Use evaluation feedback, operational traces and human review to refine prompts, context and workflows over time.
Your next dimension starts here
An ambitious idea. A difficult integration.
A system that needs a new perspective.