Anant.Corporation/Labs
Anant Corporation Labs

For the problem that hasn't been solved anywhere else.

We've been building on the internet since 1996 and building business platforms since 2010, for McDonald's, Apple, McKinsey, Verizon, the USPTO and teams like yours. We've rescued platforms when failure was not an option. Labs is how we put that practice, and a network of 100+ experts, on one difficult problem with your team: a focused workshop to frame it, and a three-month retainer to solve it.

Bring us a hard problem See engagements
Who Labs is for

If you can get it done elsewhere, you probably don't need us.

That is not a slogan; it's how we decide what to take on. Plenty of firms can stand up a chatbot or run a pilot. Labs is for the work that has already resisted the obvious approaches, where the answer depends on your data, your people and your systems all at once.

  • 01

    The problem your vendors have already tried

    A pilot that never reached production, or a platform that works in the demo and not under load.

  • 02

    The system that has to work the first time

    Regulated, public-facing or mission-critical, with no room for a second attempt.

  • 03

    The knowledge that lives in a few people's heads

    Decades of email, drives and practice systems that no AI can see yet. See Knowledge.

Engagements

Two ways to work with Labs.

Start with a workshop to frame the problem and prove the approach on your own files. Take the retainer when it's worth solving properly.

01 · Workshop

Frame the problem with your team

$15k
Fixed fee · scoped to the problem · billed separately

Hands-on sessions with the people who do the work, using the AI they already have against their own files. Adoption happens with us in the room, not after we leave.

  • One workflow mapped end to end, starting where the paper is heaviest
  • A baseline measured in hours per task, before and after
  • Your team trained on the human + AI workflow, not just the tool
  • A clear go / no-go on a retainer, and what it would take
Book a workshop call
02 · Retainer

Three months to solve it

$30k/month
3-month retainer · one difficult problem

A senior team embedded on a single hard problem, from discovery through production. The architects in the room have already shipped systems for Fortune 10 customer bases and federal agencies.

  • Discovery, architecture and build on one problem, with one accountable team
  • Working sessions with your people every week, not a report at the end
  • Runs in your cloud, ours, or AWS / Azure / GCP
  • A handover your team can run, or ongoing operations through Tekt
Discuss a retainer
How it works

From first call to production.

  1. Step 01

    Intake call

    30 minutes. You describe the problem and what's already been tried. We tell you honestly whether we're the right team.

  2. Step 02

    Workshop

    We frame the problem with your people, on your own files, and measure the baseline.

  3. Step 03

    Decision

    A written go / no-go: what solving it takes, what it's worth, and what we'd do first.

  4. Step 04

    Retainer

    Three months, one problem, one accountable team. Then a handover or managed operations.

Our story

Born out of the needs of our clients.

Anant started the way most useful firms do: the same frustrated people kept arriving with the same problems. Data that wouldn't migrate. Legacy systems nobody would touch. ERPs and CRMs that couldn't talk to each other. We fixed them, wrote down how, and kept going.

That habit of solving it, documenting it and making it repeatable became the Anant Platform Playbook, then the open knowledge bases the Cassandra community still uses, and now the practice behind Labs. The technology changes every few years. The way hard problems get solved doesn't.

  1. 1996

    Building on the internet

    Through every platform shift since: the web, ERP and CRM, cloud, big data, and now AI.

  2. 2010

    Building business platforms

    Anant forms around data migration, legacy systems, ERPs and CRMs for businesses that had run out of people to ask.

  3. Real-time data

    Global, distributed platforms

    World-recognized expertise in Apache Cassandra, DataStax, Spark and Kafka, plus Yugabyte and ScyllaDB, shared openly through Cassandra.Link, Cassandra.Tools and the Anant Platform Playbook.

  4. Today

    People, platform, practice and knowledge

    Intelcraft trains the people, Tekt runs the platform, Arkitekt ships the practice, and Konotree gives AI the whole firm to work from. Labs brings all four to one hard problem.

Why us

Some of the biggest enterprises in the world have trusted us with their complex problems.

From Fortune 10 customer bases to federal agencies, we know the controls, the audit trail and the real cost curves of environments where it has to work.

1996

Building on the internet, through every platform shift since

2010

Building business platforms for enterprise, government and nonprofits

100+

Subject-matter experts in our vetted network

F10 · Gov

Fortune 10 / 50 / 500 and public-sector delivery

Clients, and organizations our practitioners have built at
  • McDonald's
  • Apple
  • McKinsey
  • Verizon
  • Target
  • Intuit
  • Kroger
  • Dell
  • UBS
  • IBM
  • Amazon
  • Intel
  • PwC
  • Deloitte
  • Orkin
  • DataStax
  • Confluent
  • USPTO
  • USPS
Playbook · principle 01

People, process, information, platforms. In that order.

We start with who does the work and how they do it, then the information they need, and only then the technology. Most failed AI projects got that order backwards.

Provider-agnostic

The best answer, not the usual partner.

We'll always recommend the best solution for you, not the vendor we sent the last client to. Open source, AWS, Azure or GCP, in your cloud or ours.

Documented · scripted · automated

Built to keep running after we leave.

Setup, administration and customization are documented, then scripted, then automated. Systems are distributed, real-time, extendable and monitored by default.

Open by default

We publish what we learn.

Cassandra.Link, Cassandra.Tools, Awesome Cassandra, the Anant Platform Playbook and the Intelcraft curriculum are how practitioners around the world already know our work.

The network

A hundred experts. One accountable team.

Hard problems rarely sit inside one discipline. Behind every Labs engagement is a vetted network of 100+ subject-matter experts across AI, data, platforms, design, product, finance and law. We bring in the ones your problem needs, when it needs them, and keep one team accountable for the outcome.

  • 01

    AI & agents

    Models, agent harnesses, swarms, MCP, evaluation and AI fleets.

  • 02

    Data & analytics

    Pipelines, real-time distributed data, data science and ML.

  • 03

    Platforms & cloud

    Cassandra, Kafka, Spark, Kubernetes; AWS, Azure, GCP and on-prem.

  • 04

    Design & UX

    Service design, interfaces and the human + AI workflow.

  • 05

    Product

    Discovery, roadmaps, delivery and adoption that sticks.

  • 06

    Finance

    Business cases, unit economics, cost curves and FinOps.

  • 07

    Law & governance

    Responsible AI, policy, privacy, contracts and ethics.

  • 08

    Security & risk

    Controls, audit trails and regulated environments.

  • 09

    Operations & change

    Lean management, org design, training and enablement.

  • 10

    Industry & public sector

    Government, policy, nonprofits, pharma, edtech, media and retail.

Some of the practitioners you'd work with

Intelcraft faculty →

Rahul Singh

Founder · AI Architect

25+ years building data platforms and AI systems for global organizations. Author of the Anant Platform Playbook.

McDonald's · UBS · USPTO · USPS

Eric Ramseur

Founder · AI Architect

Agent harnesses, swarms and global platform experiences.

McKinsey · IBM · Subway · Rocket Mortgage

Lili Kazemi

AI Lawyer · Governance Advisor

Advisor and trainer on responsible AI, policy, governance and ethics.

PwC · Mayer Brown · Amazon · Intel · ASML

Obi Anomnachi

AI Architect

Data science, engineering and architecture across ML, MCP and AI fleets.

UKG · Satellogic · IBM · Deloitte

Colton Proctor

AI Architect

Ships production-grade agents and full-stack apps for lean teams.

Fairbridge · GTM Engineering · Fin AI

Afnan Adam

AI Strategist

Brings non-technical teams into AI for research, analysis and workflow automation.

Policy · Congress · Pharma · EdTech

Jabari Grubb

AI Architect · Leader

AI advisor, data architect and engineering mentor.

GTM · EdTech · Media Tech

+ 100 more

Specialists across AI, data, platforms, design, product, finance and law, matched to the problem.

In their words

What changes when the right team is in the room.

We thought it was a technology problem that AI wasn't working well for us. It turns out it was a human workflow problem.
D. Bohr · COO, Small Business
Being able to vibe code our own apps with the understanding of how to bring them to production is going to save us hundreds of thousands of dollars.
J. Newton · Nonprofit, Trade Association
Anant turns your business ideas to reality. Their team is brilliant. Our relationship with Anant has brought us new clients and made us more successful.
Erik Lieberman · President, US Food Imports
They will go above and beyond to find alternatives to fit your organization's needs.
Gurminder Sidhu · Senior Director, NATE
Enterprise Consciousness

Most hard problems are knowledge problems.

An AI is only as useful as what it can see. We help firms build a company brain on Konotree, one stage at a time. Labs runs stages two through four with your team.

The seven stages
  1. Chaos
  2. Discovery Labs
  3. Order Labs
  4. Connection Labs
  5. Consciousness
  6. Intelligence
  7. Leadership
Questions

Before you book the call.

Our company absolutely must get this done. Can you deliver?

Some of the biggest enterprises in the world have trusted us with their complex problems, from McDonald's and Target to the US Patent and Trademark Office. If it can be done, the intake call is where we'll tell you how. If we're not the right team, we'll tell you that too.

Do we need to be technical to start?

No. The first conversation is with business leadership: we need to understand the use case before we make technical recommendations. Your technical experts join once we know what we're solving.

How fast can we start, and when do we share confidential details?

We'll set up the intake within a week. We'll send an NDA before you share anything confidential, and onboarding typically takes one to three weeks once the paperwork is signed.

Will you push a particular vendor or cloud?

No. We have partners, but we'll always recommend the best solution for you. Our stack is provider- and deployment-agnostic: open source, AWS, Azure or GCP.

What if the problem changes mid-retainer?

It usually does. We work in agile sprints with weekly working sessions, so the plan adapts as we learn. The problem and the accountable team stay fixed; the path doesn't have to.

Is the workshop fee applied to the retainer?

No. The workshop is billed separately and stands on its own: you leave with a mapped workflow, a measured baseline, a trained team and a clear go / no-go, whether or not you take the retainer.

Next step

Tell us what's already been tried. We'll tell you if we can help.

Book a 30-min intake call rahul@anant.us