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AI starts with
the groundwork.

Consulting, embedded teams and a connected data foundation. Built for AI that works inside your business.

Book a call How we work

Most AI projects fail because the ERP and data underneath are not ready, and the right people are not in the room.
That is where we start.

Understand the work.
Then change it.

Consulting leads. The diagnosis decides the people and the tools.

Diagnose.

We interview leadership and the people doing the work, review your ERP and data, and map the processes where time and money leak.

The work before the build

  • Leadership and team interviews
  • ERP and data review
  • Process and ownership mapping

A written diagnosis.
A clear order of priorities.

Deploy the right people.

Specialists matched to the diagnosis work inside your organisation, alongside the people who know it.

Meet the disciplines

Improve, from the foundation.

The deployed team connects your systems and data, then puts agents, approvals and reporting to work.

Explore our stack

Our offerings

Consulting and diagnosis

Find the actual problem. Leave with a written plan.

Learn more

Embedded teams

The right disciplines, working inside your organisation.

Learn more

Data foundation

Connect your ERP and pipelines in one reliable data layer.

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AI agents and automation

Turn that foundation into action, with people approving.

Learn more

The stack, in motion.

The tools our deployed team uses, from a reliable foundation to a useful next action.

Data pipelines

Bring records from all your systems into one checked, reliable table.

Data pipelinesDemo with sample data

Connected sources

ERP
CRM
Sheets
WhatsApp
Email

Check & standardise

Order #1042
Delivery date13 Oct
Date corrected

Valid records, one shared format.

One reliable table

3 records
RecordSourceStatus
Order #1041ERPReady
Order #1042SheetsReady
Order #1043CRMReady
3 records ready to use

Company brain

Ask in plain English and get an answer you can trace to its sources.

Company brainDemo with sample data
Which suppliers were late twice this quarter?
Answer grounded in your sources

Answer

Supplier A and Supplier C.

Each had two late deliveries this quarter.

Supplier A2 late deliveries[1][2]
Supplier C2 late deliveries[1][3]
Cited source [1]Order #1042 · Supplier A · 3 days late

Govind runs his own company brain on Postgres with vector search, an entity graph and cited retrieval.

AI agents with approval

Let an agent prepare the action, then let a person decide when it happens.

Agent workspaceDemo with sample data

Human approval queue

Reviewed
To: Supplier ADraft follow-up

Invoice #1042: payment update

Hello, could you confirm the payment date for Invoice #1042? Thank you.

Approved by a personNothing is sent before approval
Follow-up sentHuman approval recorded

Live reporting

See the numbers change as data arrives, with an alert when something needs attention.

Live reportingDemo with sample data

Operations overview

Data up to date
Orders today128From connected systems
Ready to fulfil120Validated records
Needs attention8Alert threshold: above 5
Orders this week128 today
Mon
Tue
Wed
Thu
Fri
Sat
Sun

Sales CRM with lead capture

Turn an ad enquiry into a scored lead, a reply draft and a scheduled follow-up.

Sales CRMDemo with sample data

Lead A

Meta ad form
High fit · 82
CapturedScoredFollow-up ready
Instant replyDraft for review

Hi Lead A, thanks for your interest. What time works for a product demo?

Follow-up reminder scheduledTomorrow at 10:00 · Sales owner

Based on the CRM Meteorify built with Meta lead capture, split payments and reminders.

The problem
sets the team.

Roles an engagement can staff, with responsibilities agreed around the diagnosis.

Product designers
Make the work easier to use.
Solution architects
Connect the business need to the system design.
Data architects
Define a shared, dependable data model.
Data engineers
Build the pipelines that keep data moving.
Data scientists
Turn business questions into useful models.
Data analysts
Make the numbers clear and actionable.
AI engineers
Build agents with checks and human approval.

Client perspectives.

Quotes and identities are published only with client permission.

Financial products founder

AI hedge fund platform build.

Quote pending client approval

Client name, Company

Financial products founder

Social trading app, Solana first. Delivered.

Quote pending client approval

Client name, Company

Trading education founder

Trading education platform build.

Quote pending client approval

Client name, Company

Manufacturer

Print-ready catalogue pages with technical drawings. Delivered.

Quote pending client approval

Client name, Company

Sales team

Sales CRM with Meta lead capture, split payments and reminders.

Quote pending client approval

Client name, Company

UK group running 20+ online stores

Enterprise proposal and plan.

Quote pending client approval

Client name, Company

Author

Illustrated book production.

Quote pending client approval

Client name, Company

The people
behind the work.

The team behind Meteorify.

Govind Goel

Product Manager

Owns the product and the client relationship from first call to handover. Builds AI automations and agents. Creator @gobi_automates, with three years in real estate.

Mayank Goel

Partner and Advisor

More than ten years working in real estate. Based in Dubai. INSEAD, 2020.

Start with the
right question.

What is slowing your business down?

Book a call 15 minutes. A useful starting point.