N dimensions. A different perspective.

Think in
new dimensions.

Complex systems. Clear thinking.
AI consulting for models, agents and complex integrations. Intelligent interfaces that make the complicated work.

An ivory dimensional symbol suspended in front of smoked glass on deep navy
BUSINESS × TECHNOLOGY × DESIGNLook beyond the obvious

01 / The Endigm perspective

More perspectives.
Better answers.

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 think
Business contextTechnical depthConsidered design

02 / Where we make the difference

Deep expertise.
Connected thinking.

From model and context strategy to connected agents, governed workflows and the interface your team uses every day.

01

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.

LLMs & multimodal AIModel routingContext engineering
02

MCP & systems integration

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.

MCP servers & toolsAPI orchestrationLegacy integration
03

Agent loops & workflow graphs

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.

Agentic workflowsState & branchingFeedback loops
04

Retrieval & knowledge graphs

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.

RAG & embeddingsSemantic searchKnowledge graphs
05

Intelligent interfaces

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.

AI workspacesContext-aware assistantsHuman-in-the-loop
06

Private AI & evaluation

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.

Local & hybrid inferenceEvals & observabilityGoverned operations

03 / Built as a whole

Every connection
has a purpose.

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.

04 / Thinking, made tangible

Engineering behind
the perspective.

Our own systems are a place to explore, build and refine the ideas we bring to client challenges.

ASTRA / AI OPERATIONS

An operating workspace for AI.

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.

Model orchestrationContext & toolsHuman control
APPREADY / APPLICATION ENGINEERING

Business process. Application blueprint.

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.

INTEGRATION / DATA & WORKFLOWS

Interfaces across the seams.

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

Start with the problem.
Build with intent.

  1. 01 / DISCOVER

    Understand the whole.

    Map the business context, people, systems and constraints before choosing the technology.

  2. 02 / ARCHITECT

    Make the path clear.

    Define the model roles, MCP tools, retrieval paths and workflow graph. Establish boundaries and success criteria.

  3. 03 / ENGINEER

    Make it tangible.

    Build in reviewable steps. Trace tool calls, test agent loops and evaluate model outputs against real tasks.

  4. 04 / EVOLVE

    Design for the next move.

    Use evaluation feedback, operational traces and human review to refine prompts, context and workflows over time.

Your next dimension starts here

What’s your
next dimension?

An ambitious idea. A difficult integration.
A system that needs a new perspective.

Let’s talk possibilities darrin.joncas@endigm.com