We build AI that understands, decides, and delivers.

Tactical Tensors designs and engineers production AI systems: multimodal agents, LLM applications, recommendation engines, computer vision and predictive models. We take you from the first question to a system your business runs on.

A rank-3 tensor of shape (4, 6, 6), updating live

Built by engineers and product leaders from

  • Google
  • Microsoft
  • Walmart Labs
  • Flipkart
  • Deloitte
  • Reliance AJIO
  • Apptio (IBM)
  • Gap Inc.
  • IIT
  • UCLA Anderson
Organizations reflect our founders' professional backgrounds and current engagements.

AI is everywhere. Business impact is harder to find.

Every company now has access to powerful models. Few have the engineering, data foundations and product judgment to turn them into systems that work every day.

Where most AI efforts stopWhat we build
A prototype that impresses in a demoA system your team can rely on every day
A chatbot that answers questionsAn agent that completes the work
A model with strong offline accuracyA recommendation engine that moves conversion

We close that gap. We start with what your business needs to accomplish, then choose the model, the architecture and the workflow that will get it there.

The intelligence your business needs, engineered for the way it works.

Multimodal AI and Agents

Agents that read text, images, documents, audio and video, then use your tools to finish the job.

Explore agents

Generative AI and LLM Engineering

Retrieval, fine-tuning, guardrails and evaluation that turn foundation models into business tools.

Explore generative AI

Recommendations and Search

Personalized discovery that connects people with the right products, content and services.

Explore recommendations

Computer Vision and Document AI

Image, video and document understanding that turns visual data into structured, searchable information.

Explore computer vision

NLP and Market Intelligence

Entity-level sentiment, topic discovery and text analytics across millions of conversations.

Explore NLP

Conversational and Voice AI

Chat and voice assistants that connect directly to bookings, tickets and service workflows.

Explore conversational AI

Predictive AI and Optimization

Forecasting, anomaly detection and decision support for operations, finance and retail.

Explore predictive AI

AI Engineering and MLOps

The pipelines, serving, monitoring and evaluation that keep AI reliable after launch.

Explore MLOps

AI Strategy and Product

Opportunity assessments, roadmaps and product leadership that decide what is worth building.

Explore AI strategy

Built on real systems, at real scale.

Our team has shipped AI and engineering work across retail, consumer apps, marketplaces, enterprise software, healthcare and financial intelligence.

Datu: Personalized AI Storytelling

A consumer AI app combining story generation, illustration and narration. Designed, built and run by Tactical Tensors.

Read the project
  1. Personalized narrativesadapted to the child's age, interests and the values parents want to reinforce.
  2. Character and story continuityso familiar characters and themes carry across nights.
  3. AI-generated illustrationsin a consistent visual style.

View all nine projects

Research-minded. Engineering-driven. Business-focused.

Deep AI expertise

Classical ML, deep learning, computer vision, NLP, generative and multimodal systems.

Engineering from Google, Microsoft and Walmart Labs

We build for scale, reliability and clean integration from day one.

Product and business judgment

Consulting, marketplace and founder experience shape which problems we solve and how we measure success.

End-to-end ownership

One team from discovery and architecture through deployment and optimization.

Model-agnostic

Proprietary APIs, open-weight models, custom architectures or a simple regression: whatever fits the problem.

Built for production

Latency, cost, privacy, security, monitoring and human oversight are designed in from the start.

From business challenge to working intelligence.

  1. Understand

    We map the problem, the workflow and the data, and agree on measurable success criteria.

  2. Architect

    We evaluate approaches, design the system and test the riskiest assumptions early.

  3. Engineer

    We build the models, applications, integrations and infrastructure.

  4. Evolve

    We measure real-world performance and keep improving accuracy, speed and cost.

See our full approach

Your next competitive advantage could be an intelligent system.

You bring the business challenge. We bring the AI depth, engineering and product thinking to solve it.