Technology

The stack behind the platform

We're model-agnostic by design — the governance and orchestration layer is what we own, and it works with whichever model, cloud or database fits the job.

01 · Foundation Models

Model-agnostic orchestration

We route to the right model for the job — including our own Biomedical LLM where clinical grounding matters — through a single governed layer.

OpenAIClaudeGemini LlamaMistralQwen DeepSeekContact Doctor BioMedical LLM (Gemma-based, multimodal)
02 · AI Frameworks & Techniques

Beyond the model call

The layer that turns a raw model into a system that reasons over your data and takes safe, bounded actions.

Generative AIAgentic AIRAG Vector SearchKnowledge GraphsOCR SpeechComputer VisionMulti-agent Systems Prompt EngineeringFine-tuningRLHF
03 · Programming & Frameworks

Application layer

PythonFastAPINode.js ReactViteNext.js Flutter
04 · Data & Storage

Where the knowledge lives

MariaDBPostgreSQLSQLite RedisMilvusChroma FAISS
05 · Cloud & Infrastructure

Deploy where your data lives

AzureAWSGCP CentOSDockerKubernetes
06 · Governance, Security & MLOps

What keeps it accountable

Policy Engine (CDAI)Audit Trail Human-in-the-LoopRole-Based Access Model MonitoringvLLM Inference
Reference architecture

How the layers connect

The same governed path every request takes, from application to infrastructure.

LAYER 01 Enterprise Applications LAYER 02 AI Agents LAYER 03A Knowledge & RAG LAYER 03B LLMs LAYER 03C Vision-Language Models LAYER 04 · GOVERNANCE CDAI Governance Engine — policy, audit, human review LAYER 05 Enterprise Data · APIs · Documents · Users LAYER 06 Cloud · On-Prem · Hybrid Deployment
FIG. 02 — REFERENCE ARCHITECTUREEVERY REQUEST PASSES THROUGH GOVERNANCE BEFORE IT TOUCHES YOUR DATA
AI Lifecycle

How an engagement actually moves

A real sequence, not a marketing wheel — each stage produces something the next stage needs.

01

Discovery

Understand data, systems and constraints.

02

Strategy

Score use cases, size the business case.

03

Prototype

Prove feasibility fast, cheaply, honestly.

04

Build

Production engineering, not a demo.

05

Validate

Test against real data, edge cases, failure modes.

06

Deploy

Cloud or on-prem, CI/CD, monitoring.

07

Govern

Policy, audit trail, human review live.

08

Scale

Expand use cases on proven foundations.

Curious how this stack fits your environment?

Cloud, hybrid or fully on-prem — we'll walk through the fit.

Talk to an engineer