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AI/Gen AI

Generative AI at Altimetrik

Artificial Intelligence Engineering for Measurable ROI
Altimetrik helps enterprises move beyond AI experimentation to engineered, repeatable business outcomes. Our Generative AI services are built on a simple premise: AI only matters when it moves the P&L.
We apply our practitioner-led, AI-first engineering model to design, build, and scale Generative AI solutions that directly improve revenue velocity, cost efficiency, productivity, and risk resilience. This is what we call Engineering for EBITA.

Our Proof is in Production

Altimetrik’s Generative AI capabilities are not theoretical. They are live, in production, and delivering measurable business outcomes across regulated, high‑scale enterprise environments. So, while our ompetition is busy making presentations, we're building results.
Autonomous MLOps for Retail Forecasting (AWS)
We engineered an autonomous MLOps platform for a global althleisure brand that moved forecasting from manual, batch-driven processes to continuously learning models in production. By embedding governance, monitoring, and automated retraining into the platform, the client achieved faster model iteration, improved forecast accuracy, and reduced operational risk turning AI from a science project into a dependable business system.
GenAI‑Driven Supply Chain
Decisioning
For a complex supply chain environment, Altimetrik deployed Generative AI to reduce decision latency and enable real‑time scenario planning. AI-powered reasoning and natural language interfaces allowed planners to simulate disruptions, evaluate trade-offs, and act faster directly improving resilience, service levels, and working capital efficiency.
AI‑Assisted Engineering
at Scale
Across multiple BFS and insurance clients, Altimetrik has embedded Generative AI into the SDLC covering code generation, test creation, defect analysis, and release validation. These capabilities are in daily use by engineering teams, driving shorter release cycles, higher quality, and more predictable delivery without compromising regulatory controls.
Agentic Workflows in Financial Services Operations
Altimetrik implemented agent-based workflows to orchestrate exception handling, compliance checks, and data validation across fragmented systems. These agents operate continuously in production, reducing manual effort, improving auditability, and lowering cost‑to‑serve while increasing operational throughput.
Enterprise AI Control
Planes
Through our AI Scaffolding and governance frameworks, Altimetrik has helped enterprises deploy Generative AI with security, lineage, observability, and policy enforcement built in. This enables teams to scale AI safely across business units while maintaining trust with regulators, customers, and internal risk teams.
Explore our latest case studies

Our AI Framework: From Build to Business Impact

Altimetrik’s AI framework is designed to take enterprises from experimentation to sustained, production-grade value. It reflects how AI actually succeeds at scale: build fast with control, run reliably in production, and continuously optimize for ROI. This framework underpins our Outcome Engineering approach and is applied across all client engagements.
BUILD
From Ideas to Production-Ready AI
Client focus: Moving from ideas and pilots to production-ready AI
What we enable: We help clients rapidly design and deploy AI workflows, products, and agentic solutions using standardized, reusable, and governed building blocks. The emphasis is on speed without sacrificing enterprise controls so AI reaches production quickly and safely.
Key platform elements:
  • AI Foundry for rapid solution composition
  • Agentic frameworks and predefined agents
  • Retrieval-Augmented Generation (RAG) patterns
  • Secure, enterprise-grade development environments
RUN
Operating AI Safely in Production
Client focus: Operating AI reliably at enterprise scale
What we enable: Once in production, we ensure AI systems run with the same rigor as mission-critical platforms. This includes security, reliability, cost transparency, and human oversight especially in regulated environments.
Key platform elements:
  • AI control plane for centralized governance
  • Runtime management and workflow orchestration
  • Identity and access management
  • Observability, monitoring, and auditability
  • Human-in-the-loop controls for critical decisions
OPTIMIZE
Compounding Value Over Time
Client focus: Scaling value, controlling cost, and improving outcomes
What we enable: AI value does not peak at go-live. We continuously optimize performance, cost efficiency, governance, and business impact turning AI into a compounding asset rather than a static capability.
Key platform elements:
  • AI FinOps for cost and usage optimization
  • Intelligent model routing and selection
  • Usage and outcome analytics
  • Drift detection and performance monitoring
  • Governance, risk, and compliance controls

Our Partner Ecosystem: Depth Over Breadth

Altimetrik takes a deliberate approach to partnerships. Rather than assembling a broad but shallow ecosystem, we go deep with a small number of strategic partners whose platforms are foundational to enterprise AI.
This depth-first model translates directly into better engineering outcomes for our clients: focused expertise, faster execution, and production-grade solutions built the right way.
OpenAI
We partner deeply with OpenAI to design and deploy Generative AI solutions that move beyond experimentation. Our teams have hands-on experience with GPT-based architectures, agentic workflows, Retrieval-Augmented Generation (RAG), and enterprise governance patterns, bringing OpenAI capabilities safely into regulated, high-scale environments.
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Amazon Web Services (AWS)
Altimetrik leverages AWS as a core platform for building, operating, and scaling AI systems in production. From autonomous MLOps and GenAI workloads to cloud-native security, observability, and cost optimization, our AWS partnership enables enterprise-grade reliability and performance.
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Google Cloud
With Google Cloud, we help clients unlock advanced data, analytics, and AI capabilities, combining large-scale data platforms with modern AI tooling. Our practitioners integrate GenAI, data engineering, and platform modernization to accelerate insight-to-action across the enterprise.
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Why This Matters

By focusing on a smaller, strategically aligned partner ecosystem, Altimetrik ensures:
Deeper practitioner expertise on the platforms that matter most
Faster time-to-production through proven reference architectures and patterns
Better engineering quality through repeatable, battle-tested implementations
Stronger governance and control across security, cost, and compliance

Analyst Recognition & Market Validation

Altimetrik is recognized by leading analysts for its AI and advanced analytics capabilities, including:

  • ISG Provider Lens™ – Product Challenger for Advanced Analytics & AI Services
  • Recognition across data science, AI services, and modernization categories
View the latest accolades and press

DomainForge.ai – Accelerating AI Outcomes

DomainForge.ai is Altimetrik’s no-code / low-code platform designed to rapidly compose, deploy, and govern AI and agentic workflows.

With DomainForge.ai, clients can:

  • Build AI-driven workflows without heavy engineering lift
  • Orchestrate agents, data, and systems through a single interface
  • Enforce governance, security, and observability by default
  • Accelerate time-to-value from months to weeks

DomainForge.ai operationalizes our Outcome Engineering model at scale.

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Vision to Value- let's make it happen!

Contact us
Services
Digital Business Platform Modernization AI/GenAI Intelligent Systems and Operations Digital Enterprise Digital Operations

Digital Business Platform Modernization AI/GenAI Intelligent Systems and Operations Digital Enterprise Digital Operations
Industries
BFSI Life Science Retail & CPG Automotive Manufacturing

BFSI Life Science Retail & CPG Automotive Manufacturing
Capabilities
Data Engineering Cloud Engineering DevSecOps Agile Information Security Site Reliability Engineering (SRE) Quality Engineering Salesforce Digital Engineering

Data Engineering Cloud Engineering DevSecOps Agile Information Security Site Reliability Engineering (SRE) Quality Engineering Salesforce Digital Engineering
Resources
Blogs Case Studies White Papers Videos Glossary

Blogs Case Studies White Papers Videos Glossary
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