PROOF, NOT PROMISES

10,000+
engineering practitioners

WEF Centre for
AI Excellence
member

Everest
Group PEAK
Matrix®

ISG Provider Lens™
2024

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

Five layers.
Forty-five engineering disciplines.

ALTi AIOS is structured as five interlocking layers. Consume them selectively, or deploy end to end.
Experiences
People and agents, working together
9 disciplines
+

AI-Native Product Engineering

Product Design
UX Strategy

Interaction Design for Non-Determinism

UX Design
Trust Design

Human-Agent Collaboration Design

HITL Design
Workflow UX

Streaming UX Engineering

Frontend Eng
Real-Time UX

Multimodal Interface Engineering

Multimodal
Voice / Vision

Agent Transparency Design

Explainability UX
Trust

Feedback Loop Engineering

RLHF Infra
Eval

AI-Infused Operational Workflow Design

Process Design
Change Mgmt

Headless API & Composable Experience Architecture

API Design
Architecture
Context
Your reality as a semantic graph
9 disciplines
+

Context Engineering

Core Discipline
LLM Infra

Retrieval Engineering

RAG
Vector Search
Hybrid Search

Enterprise Ontology Engineering

Knowledge Modelling
Taxonomy

Knowledge Graph Engineering

Graph DB
Reasoning

Semantic Layer Engineering

NL2SQL
Semantic Modelling

Data Product Engineering

Data Mesh
Data Fabric

Memory Architecture Engineering

Agent Memory
Stateful AI

Synthetic Data Engineering

Fine-tuning
Data Augmentation

Data Fabric & Integration Engineering

Integration
ETL/ELT
Streaming
Orchestration
Many agents and humans, one workflow
9 disciplines
+

Agentic Systems Engineering

Core Discipline
Multi-Agent

Multi-Agent Architecture Design

Architecture
Agent Networks

Tool & MCP Engineering

MCP
Tool Design
API Eng

Workflow Orchestration Engineering

Workflow Design
Stateful AI

Human-in-the-Loop Engineering

HITL
Trust Boundary

Agent Communication Protocol Design

Protocols
A2A

Failure & Recovery Engineering

Resilience
Fault Tolerance

Agent Runtime Engineering

Runtime
Execution Env

Model Routing & Selection Engineering

Model-Agnostic
Cost Optimisation
Governance
Permissions, audit, harness testing
9 disciplines
+

Agent Identity & Access Engineering

IAM
Agent Identity
Zero Trust

Policy-as-Code Engineering

OPA
Guardrails
Compliance Eng

AI Observability Engineering

Tracing
LLMOps
Monitoring

Eval Engineering

Evals
Benchmarking
QA

Red-Teaming & Adversarial Testing

Security
Adversarial ML
Red Team

AI Risk & Regulatory Compliance Engineering

EU AI Act
HIPAA
GDPR

Guardrail & Safety Engineering

Safety
Content Policy
PII

Data Privacy & Sovereignty Engineering

Privacy
Data Sovereignty
On-Prem

AI Audit & Explainability Engineering

Explainability
Audit Trail
XAI
Substrate
The engineering and production foundation
9 disciplines
+

Harness Engineering

Core Discipline
Model Wrapping
Scaffolding

LLMOps Engineering

LLMOps
MLOps
Deployment

Fine-Tuning & PEFT Engineering

LoRA / QLoRA
RLHF
SLM

AI-Infused PDLC / ADLC Engineering

PDLC
DevEx
Codegen

Infrastructure Cost Engineering

FinOps
Inference Optimisation
Cost

DevSecOps & AI Security Engineering

DevSecOps
AI Security
Supply Chain

Cloud & AI Infrastructure Engineering

AWS / Azure / GCP
GPU Infra
On-Prem

Edge & On-Device AI Engineering

Edge AI
On-Device
ONNX

SRE for AI Systems

SRE
SLO / SLA
Reliability
Tap any layer to see its nine disciplines.
We walk through the engineering detail, and how it maps to your stack, in a working session.

Engineering capabilities

The horizontal engineering disciplines that power ALTi AIOS and every engagement.

Data Engineering

Turn raw data into accurate, accessible, decision-ready insight.

Cloud Engineering

Design, build, and run secure cloud environments.

DevSecOps

Security built into development and operations, end to end.

Agile Practice

Flexibility, collaboration, and continuous improvement that ships outcomes.

Information Security

Defend against evolving threats with resilient systems.

Site Reliability Engineering

Run and scale systems for reliability under load.

Quality Engineering

Ship quality faster with a quality-first engineering approach.

Salesforce

Drive insight and productivity across the Salesforce platform.

Digital Engineering

User-friendly digital platforms that adapt as the business changes.

Context engineering

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).

01

Prototype
A two-week sprint to a working demo.

02

Pilot
KPIs locked, tested on
real data.

03

Production
CI/CD, cloud orchestration,
and a global SLA.
The Stakes

The gap between potential and return is real.

14%
of enterprises have a clear, accountable AI strategy.
Altimetrik x HFS Research, 2026
80–95%
of companies report 
limited ROI from AI investments.
Gartner
11%
of CFOs can concretely measure ROI from AI.
Gartner
10K+
Altimetrik engineering practitioners building production AI.
Altimetrik
implementation

Altimetrik’s agile capabilities

Security by design

Every model, agent, and workflow secured from day one.

Observability by design

Full visibility into every action, cost, and decision path.

Transparent governance

Audit trails and policy enforcement, so decisions can be proven.
DEMAND SIGNALS WE'RE TRACKING

01

From chatbots to
workflows

02

Models are available, operationalization is not

03

Services labs build the systems

04

Forward-deployed engineering is the enabler

05

Frontier labs rely on services firms


06

AI is reshaping how work is organized
Industry Recognition

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.

Contact Us

We'd love to hear from you.
Contact Us
Our expertise
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