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Data science and AI for businesses

See what's coming in your business, and act on it first

We use the records your business already keeps (sales, customers, invoices, documents) to show you which customers are about to leave, how much stock to order, which payments look risky and how the business did this week. We also build AI assistants that answer questions from your own documents.

Start your projectSee what we do
  • Free 30-minute call
  • A small trial before any big spend
  • You own everything we build
What you could see each morningExample data
ActualForecastLikely range

What you're likely to sell in the coming weeks, with a range to plan around.

What we do, in plain words

Your records in. Clear answers out.

No jargon and no new systems to learn. This is the whole idea.

Step 1

The records you already keep

Sales, customers, invoices, stock and documents, wherever they live today.

  • Sales
  • Customers
  • Invoices
  • Stock

Step 2

Our AI learns the patterns

It studies what usually happens before a customer leaves, stock runs out or a payment comes in late.

  • Spots patterns
  • Checks itself
  • Explains why

Step 3

Clear answers every morning

Who to call, what to reorder, which invoice to chase, in a dashboard, an email or the tools you already use.

  • Who to call
  • What to order
  • What to chase

Find your starting point

What could we do for your business?

Choose your industry and your biggest problem. You'll see what we'd build and what you'd get each morning.

Your biggest problem

Customers leave and we don't see it coming

What we'd build: A model that learns from your past customers who left, then gives every current customer a 'likely to leave' score, with the main reasons.

Each morning you'd seeExample
  • A short list of customers most likely to leave this month, highest first
  • The likely reason next to each one, such as fewer orders or more complaints
  • Who on your team should call them
Start this projectRead more about it

What we do

Four kinds of work

Most of our work is prediction: using your past data to see what's likely to happen next. Around it, we connect and tidy your data, build reports, and set up AI tools.

  • Data Science & Machine Learning Main focus

    Find out which customers are about to leave, how much you will sell, and which payments look risky, using your own past data.

    More about this →
    • Predictive analytics
    • Predicting which customers will leave
    • Customer segmentation
    • Forecasting

  • AI & Generative AI

    Assistants that answer questions from your documents, AI that handles routine tasks and paperwork, and tools that read social media for you.

    More about this →
    • Custom AI tools
    • AI writing and sorting tools
    • Assistants that answer from your documents
    • AI agents for routine tasks

  • Data Engineering & Analytics

    Your numbers in one place and dashboards your team trusts, updated automatically instead of rebuilt by hand every Monday.

    More about this →
    • Automatic data feeds
    • One central database
    • Data cleaning
    • Dashboards

  • Custom Business Solutions

    Whole projects for problems that don't fit a package: a small trial first, then a finished system connected to the tools you already use.

    More about this →
    • Whole projects, start to finish
    • Proofs of concept
    • Custom analytics platforms
    • Automatic actions

Before you talk to anyone

Try it yourself first

Most data and AI firms ask you to book a sales call first. Here you can start on your own, for free.

  • Free data readiness check

    Eight questions, three minutes. You get a score and a suggested first step straight away, without giving your email.

    Take the check →

  • Packages with a clear scope

    See exactly what you get and how long it takes, from a one-week data audit to a three-week project that predicts which customers will leave. Each is priced for your project.

    See the packages →

  • Instant cost estimate

    Pick the type of project, how complex it is and when you need it, and see a rough price range in seconds.

    Estimate the cost →

New · Social media AI intelligence

See what people are saying about your brand and your market

Your customers, prospects and competitors talk on social media every day, but nobody has time to read it all. We build AI that reads it for you: what people say about your brand, which topics are rising, what competitors launch, and which posts show someone ready to buy.

See how it worksDiscuss your project

What it keeps an eye on for you

  • Brand and sentiment monitoring
  • Trend and topic detection
  • Competitor intelligence
  • Buying-signal detection
  • Content performance insights

How we compare

What working with us looks like

Next to how data and AI firms commonly work.

DataClyroX compared with how data and AI firms commonly work
TopicWhat you often get elsewhereDataClyroX
Your first stepBook a sales call before you see anything useful.Take a free 3-minute Data Readiness Check and get an instant score and next step. No email needed. Take the check →
PricingPrices come only after discovery calls and a proposal.See an indicative range in seconds with the cost estimator, then get a custom quote for your exact scope. Estimate the cost →
CommitmentA large project committed up front.A two-to-four-week proof of concept on your real data before any bigger spend.
Who you work withAccount managers between you and the people doing the work.Direct access to our co-founders and the people building your solution.
ProgressLong gaps between updates, explained in jargon.A working demo every week or two, in plain language, and an honest answer early if the data can't support a goal.
OwnershipYour solution tied to their platform or licence.You own everything we build: code, models, dashboards and documentation.
After launchA handover, and then you're on your own.An optional Maintenance & Support plan: we check it keeps working, update models with new data, fix problems and make small improvements. See the packages →

Based on how data and AI firms commonly work, not on any one company.

Industries

Industries we work with

Projects

Things we've built

Each one is written up as the problem, our approach and the result. Our own systems and demos are labelled, so you always know which is which.

Built by DataClyroX

Meera: an AI assistant that answers visitors and books calls, without inventing anything

A website assistant that answers from the company's own content, refuses off-topic and risky requests, books calls in the visitor's time zone and passes leads to the sales team. Running on this website now.

Professional services · AI & Generative AI

Read the case study →Built by DataClyroX

A lead engine that finds people asking for help, and ignores everyone selling

An engine that reads public posts and job listings, finds the few written by real buyers, scores them and drafts a first message for a person to send. It feeds DataClyroX's own sales pipeline every day.

B2B services · Data Science & Machine Learning

Read the case study →Built by DataClyroX

CreatorOS: business intelligence for YouTube creators

A working platform that shows a creator their whole business in one place: which videos earn, which brands to pitch, what each sponsorship is worth and what profit is left after expenses. Demonstrated with a complete synthetic channel.

Media and creators · Data Science & Machine Learning

Read the case study →

See all projects

How it works

Three steps, no tech knowledge needed

  1. 1

    Talk to us

    A free 30-minute call. Tell us the problem in your own words; we'll say honestly whether your data can help.

  2. 2

    We build it

    First a small trial on your real data, usually two to four weeks. If it works, we build the full version.

  3. 3

    You use it

    The result shows up in tools your team already uses, and everything we build is yours to keep.

See every step of a project
  1. 1

    Discovery

    A free call to understand your business, the decision you want to improve and what success looks like.

  2. 2

    Agree the scope

    We write down what will be built, who will use it, any limits, and how results will be measured.

  3. 3

    Data assessment

    We check what data exists, its quality and what's missing, before promising anything.

  4. 4

    Design

    The simplest design that meets the goal, with costs and trade-offs explained.

  5. 5

    Development

    Built in short cycles, with a working demo you can try every week or two.

  6. 6

    Testing and validation

    Tested on data the solution never saw, and checked with your team.

  7. 7

    Go live

    Set up to run in your cloud account or systems, with written instructions.

  8. 8

    Ongoing support

    Checks, updates with new data and improvements, if and when you need them.

Why DataClyroX

A small senior team that does the whole job

Business first

We start from the decision or process you want to improve, not from a technology.

Custom-built

Solutions designed around your data and workflow, not a generic template.

Cost-effective

Small, senior team and a proof of concept before big spend.

Built to grow

A small trial can grow into the full system without starting again.

Clear communication

Updates in plain language, regular demos and honest answers when the data falls short.

One team, start to finish

One team from your data to the finished system, and you own everything we build.

Team

Who you'll work with

DataClyroX is led by its two co-founders. Diganta Datta guides the vision, technology and AI and machine learning work behind every solution, and Veer Shah leads business strategy, operations, partnerships and growth. You can reach both of them directly on LinkedIn.

Diganta Datta

Co-Founder & CEO

Vision, technology, AI and machine learning, product development and overall company leadership.

LinkedIn

Veer Shah

Co-Founder & Managing Director

Business strategy, operations, partnerships, growth and organizational management.

LinkedIn

Pricing

Priced for your project

Every project is quoted to its scope, data and timeline, so you only pay for what you need. Ask for a quote, or use the estimator for a rough idea first.

Launch pricing Introductory pricing for our first clients.

Get a custom quoteTry the cost estimator

Questions

Common questions

What does a first project usually look like?

A free consultation, then a short proof of concept (two to four weeks) on your real data with a written result. You decide on the next step after seeing it.

How much does a project cost?

Every project is priced to its scope, data and timeline, so you get a custom quote after a short discovery call. The cost estimator gives an indicative range if you'd like a rough idea first.

Do you sign NDAs and keep our data private?

Yes. We sign NDAs, work in your environment where possible and only use the data the project needs.

Who owns the work?

You do: code, models, dashboards and documentation are handed over.

Can you work with our in-house team?

Yes. We can lead the project or work alongside your developers and analysts.

Start here

Tell us about your project

A few lines is enough. We reply within one business day with questions or a suggested next step. The first call is free.

  • We'll tell you honestly whether your data can support the goal
  • You get an indicative cost and timeline
  • No obligation, and no automated sales emails

Prefer to talk? Book a 30-minute call.