Diganta Datta
Co-Founder & CEO
Vision, technology, AI/ML, product development and overall company leadership.
LinkedInData Science · Machine Learning · AI · Business Intelligence
Turn your business data into decisions that grow revenue
DataClyroX builds machine learning, AI and analytics solutions that solve specific business problems: predicting churn, forecasting demand, scoring risk, automating documents and giving teams dashboards they trust.
- Free 30-minute consultation
- Proof of concept before big spend
- You own everything we build
Why we're different
See what's possible before you talk to anyone
Most data and AI firms ask you to book a call first. We'd rather you start with something useful.
Free Data Readiness Check
Eight questions, three minutes, an instant score and a recommended first step. No email needed to see your result.
Take the check →Clearly scoped packages, custom quotes
Know exactly what you get and how long it takes, from a one-week data audit to a churn prediction sprint. Priced to your project, never one-size-fits-all.
See the packages →Instant cost estimate
Pick your project type, complexity and timeline, and get an indicative price range in seconds.
Estimate the cost →How we compare
Why DataClyroX is different
What working with us looks like next to how data and AI firms commonly work.
| Topic | What you often get elsewhere |  |
|---|---|---|
| Your first step | Book 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 → |
| Pricing | Prices 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 → |
| Commitment | A large project committed up front. | A two-to-four-week proof of concept on your real data before any bigger spend. |
| Who you work with | Account managers between you and the people doing the work. | Direct access to our co-founders and the people building your solution. |
| Progress | Long 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. |
| Ownership | Your solution tied to their platform or licence. | You own everything we build: code, models, dashboards and documentation. |
| After launch | A handover, and then you're on your own. | An optional Maintenance & Support plan: monitoring, retraining, fixes and small improvements. See the packages → |
Based on how data and AI firms commonly work, not on any one company.
Problems we solve
Business problems first. Technology second.
Each of these is a problem your existing data can usually help with. We start from the problem and measure the result in business terms.
Customers leave without warning
Predict churn early and know who to call this week.
Forecasts live in spreadsheets
Forecast demand and revenue with ranges you can plan around.
Reports take days to build
Automate reporting so the numbers arrive on time, every time.
Paperwork is keyed in by hand
Read invoices, forms and documents automatically, with review.
Every customer gets the same message
Segment customers by behaviour and personalise what they see.
Risky transactions slip through
Score fraud and credit risk before money moves.
What we do
Data science at the centre, everything it needs around it
Machine learning is where we create the most value. Data engineering, dashboards and AI make it usable.
Data Science & Machine Learning
Models that predict what happens next: which customers will leave, what you will sell, which transactions are risky.
- Predictive analytics
- Customer churn prediction
- Customer segmentation
- Forecasting
AI & Generative AI
Assistants that answer from your documents, agents that run routine workflows, and automation for paperwork.
- Custom AI solutions
- LLM applications
- Retrieval-augmented generation (RAG)
- AI agents and agentic workflows
Data Engineering & Analytics
Clean, connected data and dashboards your team trusts, refreshed automatically instead of rebuilt every Monday.
- ETL/ELT pipelines
- Data warehousing
- Data cleaning and transformation
- Dashboard development
Custom Business Solutions
End-to-end projects: a proof of concept first, then a production system integrated with the tools you already use.
- End-to-end ML projects
- Proofs of concept
- Custom analytics platforms
- Data-driven automation
Industries
Built for the way your industry works
FinTechRisk, fraud and growth models for lending, payments and wealth products.Banking & Financial ServicesAnalytics and AI for collections, compliance, customer service and reporting.E-commerceRecommendations, segmentation and forecasting for online stores and D2C brands.HealthcareOperational analytics and careful AI for clinics, health-tech and providers.RetailForecasting, pricing and loyalty analytics for physical and omnichannel retail.SaaS CompaniesChurn, expansion and product analytics for subscription software.EducationAnalytics and AI for edtech platforms, schools and training providers.LogisticsForecasting, routing insight and document automation for logistics and supply chains.
Projects
Problem, method, technology, outcome
Every project is written up the same way. Client work and demonstrations are labelled clearly.
Case studies are being written up. Ask us on a call for examples close to your problem and for references.
Book a callHow we work
A clear process from first call to production
- 1
Discovery
A free call to understand your business, the decision you want to improve and what success looks like.
- 2
Requirement analysis
We write down scope, users, constraints and how results will be measured.
- 3
Data assessment
We check what data exists, its quality and what's missing, before promising anything.
- 4
Solution architecture
The simplest design that meets the goal, with costs and trade-offs explained.
- 5
Development
Built in short cycles, with a working demo you can try every week or two.
- 6
Testing and validation
Tested on data the solution never saw, and checked with your team.
- 7
Deployment
Put into production in your cloud or systems, with documentation.
- 8
Ongoing support
Monitoring, retraining and improvements, if and when you need them.
Why DataClyroX
A small senior team that owns 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.
Scalable architecture
Built to grow from a pilot to production without a rewrite.
Transparent communication
Plain-language updates, weekly demos and honest answers when data falls short.
End-to-end ownership
One team from data to deployment, and you own everything we build.
Leadership
The team behind DataClyroX
DataClyroX is led by its two co-founders. Diganta Datta guides the vision, technology and AI/ML work behind every solution, and Veer Shah leads business strategy, operations, partnerships and growth. You can reach both of them directly on LinkedIn.
Veer Shah
Co-Founder & Managing Director
Business strategy, operations, partnerships, growth and organizational management.
LinkedInPricing
Custom pricing for your project
Every project is quoted to its scope, data and timeline, so you only pay for what you need. Get a custom quote, or try the estimator for a rough idea first.
Launch pricing Introductory pricing for our first clients.
Get a custom quote Try the cost estimatorQuestions
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 consultation 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 sequence
Prefer to talk? Book a 30-minute call.