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Machine learning companies · CRM

Keep each enquiry attached to the prediction problem and the data it needs.

A CRM for a machine learning company records the problem a buyer wants solved, the data they hold and the stage of the study, not only a name and a number. GullySales works on a simple structure that follows an enquiry from first message to live model.

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Scope, fee, reporting and term are agreed in writing after we have read your brief and spoken to you.

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What CRM means

A CRM is the record where every enquiry, call and quote is kept against a customer, replacing separate notebooks, spreadsheets and memory. GullySales sets up or cleans an existing CRM and reports from it by enquiry outcome rather than by activity logged.

Also for machine learning companies

Sales and marketing for machine learning companies, the overview.

Last updated 18 Oct 2026.

For machine learning companies

Where it usually goes wrong, and what we would do.

  • “Standard fields miss what matters here”

    A generic CRM records company and contact. The facts that decide a deal are the prediction wanted, the system holding the data and the months available. Without fields for these, every call restarts from memory.

  • “Studies that stop at the data stage get lost”

    When a client's data proves too thin, the conversation ends and the record is closed. A note of what was missing lets you return when the client has gathered more, and shows which clients to nurture.

  • “Several people touch a single study”

    The planner, the data owner and the signer each speak to you at different points. If their names and roles sit in separate inboxes, a handover on either side breaks the thread.

  • “Live models create a second kind of customer”

    Once a model runs, the client needs upkeep and review. A CRM that tracks only sales hides those accounts, and drift is noticed by the client before you notice it.

What we do

What we deliver for machine learning companies.

Every deliverable, what it covers for you, and the result it is there to produce. Nothing here is an extra.

  1. Fields for the prediction problem

    Fields for what is to be predicted, the source system, months of history and the sector.

    Result: Every record tells a colleague what the enquiry is about.

  2. Stages from enquiry to live model

    Stages such as readiness checklist sent, study agreed, finding delivered and model live, each with a clear meaning.

    Result: A pipeline that matches how the work actually moves.

  3. A stopped-at-data record

    A short note format for studies that ended on thin data, with what was missing and when to revisit.

    Result: Lost studies stay on file as future prospects.

  4. Contacts by role

    Each contact tagged as planner, data owner, signer or founder, linked to the same study.

    Result: A change of person on either side leaves a visible trail.

  5. A live-model account view

    A view of running models, who owns each on the client side and when it was last reviewed.

    Result: Upkeep work is seen and not left to memory.

How the result is measured

  • Enquiries logged in the CRM
  • Data completeness
  • Reports generated from CRM data

Recorded as a baseline before work starts, so every later report has an honest comparison.

Read the full CRM implementation and customisation page

Who it is for

This is written for these machine learning companies.

  • Demand and inventory forecasting specialists
  • Credit scoring and collections modelling firms for lenders and NBFCs
  • Churn and customer lifetime value modelling for subscription businesses
  • Predictive maintenance and quality prediction for plants
  • Pricing and promotion optimisation for retail and FMCG
  • Fraud and anomaly detection for payments and insurance
  • Time series and sensor data specialists
  • MLOps and model monitoring providers

How it works

How the CRM work runs

The work itself, in order. How an engagement starts, from your brief to a written scope, is set out on our method page.

  1. 1

    Map the sales process

    We record how a deal actually moves from enquiry to close in your business today.

  2. 2

    Configure stages and fields

    The CRM's pipeline and fields are built to match that process exactly, not a generic template.

  3. 3

    Set up automations

    Reminders, assignment rules and follow-up triggers are configured so routine steps happen without manual effort.

  4. 4

    Test with real deals

    We run the configuration against actual current deals to catch gaps before the whole team relies on it.

Where this fits

Three pieces of sales work, in this order.

This work sits inside sales management. A target, a review routine and someone who owns the number.

  1. Step 1

    Sales audit

    Find where deals are being lost and what to fix first.

    Start here if you cannot say where orders are lost.

  2. Step 2

    Sales process design

    One written way to sell, from first enquiry to repeat order.

    Start here if every salesperson sells differently.

  3. Step 3 · you are here

    Sales management

    A target, a review routine and someone who owns the number.

    Start here if the team has targets and no routine.

Tell us what you need Your brief is read before we call. Scope, fee and term in writing.

FAQ

Questions owners ask before they call.

Not here? More answers, or ask on WhatsApp.

Tell us what you need
Which CRM should we use?
The one your team will keep up. Several tools suit this, including HubSpot and Zoho CRM. The structure of fields and stages matters more than the product, and GullySales sets that up inside whichever you choose.
We already have a spreadsheet. Is that enough?
For a handful of enquiries, yes. Once studies overlap and partners send leads, a spreadsheet loses track of who was told what. Move across when that begins to happen.
Should client data go into the CRM?
No. Keep the CRM for the sales record. Client datasets stay in your secure working area, with access limited to the people who need them.
How much does it cost?
There is no price list, because the work differs by business. The fee is scoped after we have read your brief and spoken to you, and put in writing before anything starts, split into our time, your media spend and production.
How long is the contract?
The term is agreed in writing after we have spoken, along with the fee and the reporting. It is never a default twelve months, and renewal is decided on the numbers against the baseline recorded at the start.
How soon will we see results?
It depends on the trade, the channel and what is already in place. After we have read your brief and spoken to you, we say what we would expect to move first and how it will be measured against the baseline. Nothing here is guaranteed.
Who will actually do the work?
The person you speak to before anything starts. We work from one office in Nagarbhavi, Bengaluru, with no account managers in between.
What do you need from us?
Your brief, and a conversation. After that, access to whatever this work touches, such as your website, your accounts or your enquiry record, and time with the people who handle your enquiries.
What if we are not happy with the work?
Tell us and the plan changes. Everything is reported against the baseline, so a number that is not moving is visible to both sides. The term is in your written scope, and the refund and cancellation policy sets out the rest.

More for machine learning companies

Everything else we would do for you.

Closest to this: leads and follow-up

Also for machine learning companies

Or start from the overview: sales and marketing for machine learning companies.

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