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Company

Build better decisions with MESHHETU.

MESHHETU is a systems engineering company combining commercial strategy, product thinking, data intelligence and AI engineering. हेतु means reason or purpose: every intervention should have an owner, a rationale and a measurable outcome.

MESHHETU connected-node logo
MESHHETU

The systems engineering company.

हेतु

हेतु (hetu) · Hindi for reason, cause and purpose.

The reason behind MESHHETU

Built with a purpose.Engineered with a reason.

We started MESHHETU because commercial teams often have capable tools, talented people and more data than ever—but the decisions between those systems still break down.

We wanted to bring commercial strategy, product thinking and systems engineering into one place: identify the missing connection, understand why it matters, design a practical response, and stay accountable for the outcome.

The name is our reminder: every system should have a reason to exist, every recommendation should have evidence, and every improvement should have a clear owner.

What we sell, and when

Work with a team that connects strategy and engineering.

Strategic consulting and modular intelligence are available today. Our long-term product vision is ROQIVA, an integrated orchestration layer in development.

  • AAvailable today

    Strategic Consulting

    Get expert help with your commercial and revenue systems

    Consulting-led diagnosis, research, strategy, specifications and delivery governance as scoped. Your team owns implementation and release.

    The brand gets
    Audit, research briefs, strategy, PRDs, delivery governance
    Ready
    Now
    See Track A
  • BAvailable today

    Modular Systems Intelligence

    Add focused intelligence without rebuilding your stack

    Scoped business context, diagnostics and monitoring/review, using approved inputs and minimal integration. Your team decides and ships.

    The brand gets
    Scoped Brain, Analyst and Monitor capabilities
    Ready
    Now · scoped to your needs
    See Track B
  • CIn development

    Integrated product

    ROQIVA

    Explore a complete orchestration layer for your existing stack

    ROQIVA is being developed to work within your existing architecture alongside CRM, analytics, payments and operations systems.

    The brand gets
    The full system end to end
    Ready
    In development · not production-ready
    Meet ROQIVA

The founders

Put a Product Architect and an AI Engineer on your revenue system.

The two of us run every engagement. No hand-offs to a junior team.

Anjor Tank

Product Architect · Mumbai

Designs the system that turns a stuck number into a shipped fix.

  • Knows the D2C stack from the inside. Has worked across a Series C healthtech e-commerce company and now a global protein and supplements brand.
  • Designs and orchestrates the whole system. Has built automated, agentic systems end to end: the signal, the rules, and the tools and agents that act on it.

MBA in Marketing, Ops and SCM. BTech in Electronics and Telecommunications. Both at NMIMS.

Owns · Detect, Audit and Decide

Karan Tank

AI Engineer · Seattle

Puts the intelligence in the orchestrator, and proves it works.

  • Production ML, not slideware. Staff data scientist at a US AI company, in production machine learning since 2021.
  • Has built agentic systems. Focus on LLMs and agentic AI, with model evaluation, cost and latency held to a production standard.

MS Electrical and Computer Engineering, Carnegie Mellon University. Bachelor’s in Electronics Engineering, University of Mumbai.

Owns · Build, Orchestrate and Measure

Who does the work

Know who drafts, who approves and who ships.

Who drafts, who approves and who ships
RoleWhoWhat they do
Product ArchitectAnjorFrames the problem, runs the audit and owns the work item.
AI EngineerKaranBuilds and evaluates the detector and agent layer.
Your PMClientValidates findings and signs the gates.
Your design and engineeringClientReview the pack, then build and deploy.

Past employers are experience, not clients. No customer is claimed on this site.

How an engagement runs

Take a problem from discovery to a next action.

  1. 01

    Working session

    Walk us through the journey and the symptom. We say whether an audit makes sense.

    Free

  2. 02

    Audit

    We build the Brain from exports you approve. Findings come back ranked, with evidence.

    Gate 1

  3. 03

    Decide and specify

    Pick the fix. Agents draft the options and the pack, and your people decide.

    Gates 2 and 3

  4. 04

    Your engineers ship

    Your engineers build and deploy. We write nothing to production.

    Gate 4

  5. 05

    Measure

    The result is checked against the baseline and written back to the Brain.

    Outcome review

Access and controls

Keep the data scope small and the evidence visible.

  • Approved exports

    We start from the exports and configuration you approve.

  • Read-only access

    We never change a brand’s systems.

  • Bounded visibility

    An agent sees only what its task needs.

  • Evidence labels

    Every finding is Confirmed, Supported or Hypothesis.

  • No production writes

    Agents write drafts. Your engineers deploy.

Principles

Hold to five rules.

  1. 01

    Draft, never deploy

    Nothing we build writes to a live system.

  2. 02

    Show the evidence

    No finding without its source and label.

  3. 03

    Name the approver

    Every gate has a person, not a team.

  4. 04

    Report the unseen

    What we could not see is never called healthy.

  5. 05

    Say the limits

    If a fix will not pay back, we say so.

Bring one problem and one practical next step.

A working session is free and needs no access.

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