Tactical Tensors

Advanced AI capabilities. Practical enterprise outcomes.

We cover the full lifecycle of intelligent systems, from strategy and research to engineering and operations. Generative AI where it helps, proven machine learning where it is the better tool.

Multimodal AI and Agentic Systems

AI that understands more than words, and does more than respond.

Real work spans emails, spreadsheets, photos, PDFs, recordings and a dozen internal tools. We build agents that work across all of them: they gather context, reason through the task and take approved actions, with a person in the loop where it matters.

Capabilities

  • Agents that work with text, images, audio, video and documents
  • Vision-language model integration
  • Tool calling and agentic workflow automation
  • Multi-agent orchestration and task delegation
  • Persistent task state and context management
  • Retrieval-augmented generation over enterprise knowledge
  • API and enterprise application integration
  • Human-in-the-loop approvals and exception handling
  • Agent evaluation, tracing and observability

Where it applies

Retail planning: recommend how much stock goes to each store and DC, explain the reasoning to planners and run what-if scenarios.

Insurance claims: read forms, photos, policy wording and emails together, then prepare an evidence-backed assessment for review.

Operations: pick up incoming requests, pull data from internal systems, complete permitted steps and escalate exceptions.

Research: search approved sources, verify findings and produce structured reports.

Customer support: interpret messages and screenshots, pull account context and trigger approved resolution workflows.

Our view: an agent is useful when it reliably moves work to completion, not when it produces a convincing answer.

Generative AI, LLMs and Custom Models

Turn foundation models into business-specific intelligence.

LLMs are only as good as the data they can reach, the way they are adapted and the checks around them. We engineer generative AI around your workflows instead of forcing your workflows into a generic chatbot.

Capabilities

  • Use-case discovery and solution architecture
  • Retrieval-augmented generation (RAG)
  • Hybrid search, reranking and advanced retrieval
  • Knowledge graphs and graph-enhanced retrieval
  • Domain adaptation and fine-tuning
  • Structured outputs and multi-step reasoning pipelines
  • Model comparison, routing and inference optimization
  • Evaluation, hallucination analysis and guardrails
  • Private and self-hosted deployment
  • Synthetic data for testing and development

Where it applies

Enterprise knowledge assistants, contract and policy research, financial analysis workflows, automated reporting, employee copilots and industry-specific assistants.

Our view: use the simplest architecture that reliably solves the problem.

Recommendation Engines and Personalization

Make every interaction more relevant.

On large catalogs and content platforms, choice becomes friction. We build recommendation systems that learn from behavior, content, context and business rules, so customers find what matters faster.

Capabilities

  • Collaborative filtering and content-based models
  • Two-stage retrieval and ranking architectures
  • Embedding-based candidate generation
  • Deep learning ranking models
  • Session-based and sequential recommendations
  • Personalized product and content feeds
  • Video-commerce recommendations
  • Similar and complementary item discovery
  • Cold-start and exploration strategies
  • Real-time personalization
  • Offline evaluation and A/B experimentation

Where it applies

E-commerce product discovery, shoppable video feeds, media and content feeds, and learning platforms.

Outcomes we design for: better discovery, deeper engagement, higher conversion and better use of inventory.

Computer Vision, Video AI and Document Intelligence

Make visual information searchable, understandable and actionable.

Images, video and scanned documents hold information most business systems cannot read. We turn them into structured data, searchable libraries and automated workflows.

Capabilities

  • Image classification and object detection
  • Visual similarity search and image embeddings
  • Video classification, scene understanding and summarization
  • Multimodal video retrieval
  • OCR, layout analysis and document understanding
  • Information extraction from forms, invoices and contracts
  • Visual anomaly and defect detection
  • Product catalog enrichment and attribute tagging
  • Vision-language reasoning

Where it applies

Automated product tagging, shop-the-look visual search, searchable video archives, invoice and purchase-order extraction, manufacturing inspection and damage assessment from photos.

NLP, Sentiment Analysis and Market Intelligence

Turn language into signals you can act on.

Reviews, tickets, news, social posts and research papers hold information no team can read at scale. We build systems that extract entities, read sentiment, recognize intent and surface emerging themes.

Capabilities

  • Entity-level and aspect-based sentiment
  • Named entity recognition and linking
  • Topic modeling and semantic clustering
  • Intent classification
  • Summarization and information extraction
  • Financial and social-media intelligence
  • Emerging narrative and anomaly detection
  • Multilingual and code-mixed language processing
  • Classification and moderation workflows
  • Search and analytics over large text collections

Where it applies

Market sentiment for fintech, review and returns analysis for retail, complaint detection for customer experience, brand and audience intelligence, and scientific and medical literature mining.

Conversational AI and Voice Agents

Conversations that lead directly to action.

Customers want answers without menus, hold music or repeating themselves. We build chat and voice assistants connected to your systems, so a conversation ends with something done.

Capabilities

  • Customer support chat agents
  • Voice interfaces with speech-to-text and text-to-speech
  • Multilingual conversation flows
  • Intent recognition and dialogue management
  • Grounded answers from your knowledge base
  • Booking, ticketing and service-system integration
  • Conversation state and context management
  • Live-agent handoff and escalation
  • Conversation analytics and quality evaluation

Where it applies

Hotel guest concierge, support automation, retail shopping assistants, appointment scheduling, internal service desks and voice-enabled operations.

Our view: every conversation should end in a resolved question, a completed request or a clean handoff to a person.

Predictive AI and Decision Intelligence

Move from what happened to what happens next.

We use statistics, machine learning and optimization to turn operational data into forecasts and decisions your teams can act on.

Capabilities

  • Time-series and hierarchical forecasting
  • Demand and inventory prediction
  • Customer behavior, churn and retention models
  • Anomaly and fraud-pattern detection
  • Risk scoring and prioritization
  • Pricing and promotion analytics
  • Constrained optimization
  • Scenario analysis and decision-support tools

Where it applies

Retail replenishment and store allocation, IT and cloud cost forecasting, financial risk, customer retention, and supply chain and inventory optimization.

AI Platforms, Infrastructure and MLOps

Great AI deserves great engineering.

The model is one component. Production AI also needs data pipelines, serving infrastructure, evaluation, security and monitoring. Our engineering team has built systems at Google, Microsoft and Walmart Labs scale, and we bring that discipline to every AI system we ship.

Capabilities

  • AI solution and platform architecture
  • Data engineering and model pipelines
  • Model serving and inference APIs
  • Cloud-native and containerized deployment
  • Batch and real-time processing
  • Vector databases and retrieval infrastructure
  • Model and prompt versioning
  • Continuous evaluation and observability
  • Latency and inference-cost optimization
  • Security, access control and audit trails
  • CI/CD for AI applications

Our goal: AI systems that stay useful, maintainable and economical long after launch.

AI Strategy and Product Consulting

Find the opportunities worth building.

Not every problem needs AI, and not every AI project pays back. We help you decide where AI creates value, what it will take and what to build first.

Capabilities

  • AI opportunity assessments
  • Product vision and roadmaps
  • Use-case prioritization and ROI modelling
  • Data and technical feasibility reviews
  • Build-versus-buy decisions
  • Vendor and model evaluation
  • Proof-of-concept planning
  • AI product management
  • Go-to-market and commercialization strategy
  • Adoption and operating-model planning

Who it is for

Startups building AI products, established companies modernizing workflows, and teams that need senior AI and product leadership.

Not sure which capability fits?

Tell us the problem. We will tell you honestly whether AI is the right answer, and which kind.

Discuss your requirements