Skip to main content
Vikrama.

We build, ship, and advise.

Three disciplines: AI systems that think, engineering that scales, and consulting that cuts through the noise.

We build AI that ships to production.
Not PowerPoints.

Most AI projects die in a Jupyter notebook. Ours go live. We build systems that make real decisions in real workflows. From LLM agents that handle support to ML models that price risk. Every system we ship is built to run without us.

Discuss your AI project →

AI Systems & Agents

  • Custom LLM fine-tuning & RAG
  • Autonomous agent workflows
  • AI-powered internal tools
  • Production deployment & monitoring
Ideal for: Customer support automation, content systems, knowledge management

Machine Learning

  • Prediction & forecasting models
  • Classification & scoring
  • Recommendation engines
  • Feature engineering & pipelines
Ideal for: Pricing optimization, risk scoring, churn prediction

Intelligent Automation

  • Document processing & extraction
  • Decision automation workflows
  • Approval routing & exception handling
  • Human-in-the-loop systems
Ideal for: Claims processing, invoice handling, compliance checks

Generative AI

  • Custom model fine-tuning & training
  • RAG-powered knowledge systems
  • Content generation pipelines
  • AI-assisted code & creative tools
Ideal for: Content teams, product AI features, internal copilots

Products that survive
contact with real users.

We build products meant to scale. SaaS platforms, mobile apps, cloud infrastructure. The kind of engineering where "it works on my machine" isn't acceptable.

Discuss your project →

Product & Platform Engineering

  • Microservices architecture
  • API design & integration
  • Admin dashboards & internal tools
  • Payment & subscription systems
Ideal for: SaaS platforms, marketplace backends, internal ops

Web & Mobile Development

  • React / Next.js / Flutter
  • Native iOS & Android
  • Progressive web apps
  • Offline-first architecture
Ideal for: Consumer apps, enterprise mobility, IoT companions

Cloud & Infrastructure

  • AWS / Azure / GCP architecture
  • Kubernetes & container orchestration
  • CI/CD pipelines
  • Monitoring & observability
Ideal for: Cloud migration, scale engineering, cost optimization

Data Engineering & Analytics

  • Data warehouse design & implementation
  • ETL/ELT pipeline architecture
  • Dashboard & reporting systems
  • Data quality frameworks
Ideal for: Pre-AI data cleanup, reporting overhauls, analytics infrastructure

Before you build,
make sure you're building
the right thing.

Bad architecture is expensive. Wrong AI use cases are worse. We figure out what to build, how to build it, and what to skip entirely. No billable hours for opinions you don't need.

Book a consulting session →

AI Strategy & Consulting

  • AI opportunity assessment
  • Use case prioritization
  • Build vs buy analysis
  • Implementation roadmap
Ideal for: Companies exploring AI, orgs with failed projects

CTO Advisory

  • Technology roadmaps
  • Architecture reviews
  • Team structure & hiring plans
  • Vendor evaluation
Ideal for: Startups without CTOs, scale-ups outgrowing v1

Security & Compliance

  • Security audits & pen testing
  • SOC 2 / ISO 27001 readiness
  • AI governance frameworks
  • Data privacy compliance (GDPR, DPDP)
Ideal for: Pre-funding audits, enterprise sales readiness

Innovation & R&D

  • Proof of concept sprints (2-4 weeks)
  • Emerging technology evaluation
  • Innovation workshops & ideation
  • Working prototypes for board decisions
Ideal for: Pre-investment validation, new tech evaluation, innovation programs

How every engagement starts.

01

Discovery

We listen. You tell us the problem, the constraints, the budget. We ask hard questions.

Duration: 1 week
02

Scope

We write a clear scope doc. What we'll build, how long, how much. No surprises.

Deliverable: Proposal + SOW
03

Build

We build in the open. Weekly demos, shared Slack, no black boxes.

Avg: 8-12 weeks
04

Handoff

We hand it off properly. Docs, training, support, so your team can run it without us.

Tell us what you need built.

We'll figure out whether it's an AI problem, an engineering problem, or a strategy conversation. Usually it's all three.