Five layers, built from the substrate up. Tap a layer to see its capabilities.
PROOF, NOT PROMISES
10,000+ engineering practitioners
WEF Centre for AI Excellence member
Everest Group PEAK Matrix®
ISG Provider Lens™ 2026
Constellation ShortList™ Q1 2026
Glassdoor Best- Led Companies 2025
HFS Research partner
AI ECOSYSTEM ORCHESTRATOR OF CHOICE
Built with the platforms you already run, orchestrated as one.
FROM OUR LEADERSHIP
AI strategy without a contextual operating system is just intent
Every enterprise has access to the same models. Advantage comes from operationalizing them — turning intelligent context into action your business can trust. That is what AIOS™ delivers.
AIOS™ is how intent becomes enterprise execution.
Niraj Nagrani
Chief Data and AI Officer, Altimetrik
Services
What we build, end to end.
From digital business to operations, delivered end to end by Altimetrik engineering teams.
The discipline of designing, structuring, and managing the information that an AI model receives — so it has exactly the right knowledge, at the right time, in the right format. Covers context window management, dynamic assembly, compression, and multi-turn coherence across agentic workflows.
Knowledge Graph Engineering
Building and maintaining enterprise knowledge graphs that represent entities, relationships, and business rules in a form agents can traverse and reason over — enabling multi-hop reasoning, relationship discovery, and connected-data queries that flat retrieval cannot support.
Semantic Layer Engineering
Building a semantic layer that makes enterprise data queryable in natural language with business meaning fully preserved — translating AI-generated queries into accurate, governed data access without exposing raw schema complexity to models or agents.
Agentic Systems Engineering
A new engineering discipline that combines distributed systems, workflow design, and AI-specific concerns to build reliable multi-agent systems. Covers agent role definition, boundaries, communication protocols, state management, and failure isolation across agent networks.
Human-in-the-Loop Engineering
Defining agent intervention points, escalation logic, approval workflows, and the mechanisms by which human decisions are injected back into agent execution. Engineering the trust boundary between autonomous action and human oversight.
Eval Engineering
Building systematic evaluation pipelines that continuously test model and agent behavior against ground truth, safety criteria, and business KPIs — including automated evals, human evaluation workflows, regression testing, and benchmark management across model versions.
ALTI-LAB · AI ADOPTION LAB
95% of AI pilots fail. We build the 5% that reach production.
ALTi-Lab is Altimetrik's dedicated AI ecosystem. Data scientists, engineers, and domain experts stress-test ideas in real scenarios, thenmove them through a lab-to-factory pipeline to production, governed by our Agentic Development and Assessment Framework (ADAF).
Recognized by ISG Provider Lens™ 2024 and named to the Constellation ShortList™ Q1 2026.
Vision to value
Ready to engineer your AI operating model?
Talk to an Altimetrik strategist. We will baseline your readiness and design the reference architecture that turns pilots into a governed, observable, production AI business.