Blinko

Turn your data into decisions you can prove.

Find out what is really moving your numbers, what to do next, and whether it worked. For teams in payments, SaaS, operations and healthcare.

We build it with statistics, causal inference and AI: from assistants that answer from your documents to models your team checks every morning.

See our services

Clients include Fractal, Solventis and OmniXM.

400 customers, one mark each, sized by revenue. Who is about to leave, and what it would cost.

400 customers shown as marks, sorted by the change in their activity. 23 customers, gathered at the end in red, are declining beyond their usual pattern, with $1.9M of revenue at risk a year.

What we build

Six services. Each one starts from a business question and ends in something your team uses every week.

  • AI assistants on your documents

    Your team asks questions in plain English and gets answers from your own documents, with the source quoted.

    • Connected to your contracts, policies, tickets or records (RAG)
    • Every answer quotes its source, and says so when it does not know
    • Access rules, so people only see what they are allowed to

    Typical first version: 3 to 6 weeks

    See how it works: AI assistants on your documents

  • AI agents and automation

    Repetitive work done by AI agents, with a person approving anything that matters.

    • Matching invoices, payments or records to the right place
    • Research and first drafts: leads, follow-ups, summaries
    • Every step logged, and a person signs off before money or customers are touched

    Typical first version: 3 to 6 weeks

    See how it works: AI agents and automation

  • Predictive models

    Forecasts of demand, churn, risk or revenue that your team can plan with.

    • Tested on past periods before anyone relies on it
    • A likely range, not just one number
    • Refreshed automatically and watched for drift

    Typical first version: 2 to 6 weeks

    See how it works: Predictive models

  • Statistics you can defend

    Clear answers to what changed, by how much, and whether it is more than noise.

    • The question you need answered, analysed and explained in plain language
    • Survival analysis for how long customers, patients or contracts stay
    • A short report your board or reviewers can check

    Typical first version: 1 to 3 weeks

    See how it works: Statistics you can defend

  • Measuring what really worked

    Know whether a price change, an offer or a program actually caused the result, and what it was worth.

    • A fair comparison: a controlled test, or causal inference on the data you already have
    • The effect in dollars, with an honest range
    • A clear call: keep it, change it or stop it

    Typical first version: 2 to 4 weeks

    See how it works: Measuring what really worked

  • Analytics systems

    Your systems connected into one live view, so every team works from the same numbers.

    • Payments, CRM, finance and operations data in one place
    • Alerts that explain what changed, in plain English
    • A view for each role, from the CEO to the analyst

    Typical first version: 4 to 8 weeks

    See how it works: Analytics systems

Not sure which one fits?

Proven experience. Real systems.

For Fractal we connected payments, sales and operations into one live system. Every role sees its numbers as they happen, and alerts explain themselves in plain English.

Read the Fractal case study
in yearly transactions tracked in the system we built
$100M+in yearly transactions tracked in the system we built
days until the whole team was using it
30days until the whole team was using it
hours saved per person every week
10–12hours saved per person every week

Fractal, construction fintech, United States. Figures from the case study.

Blinko delivered exceptional work on a highly complex problem. Deep expertise in data science, machine learning, and business domain knowledge – exceeded all expectations.

Steve Conn, Analytics Director, Fractal & Sky Systems

What changed at Fractal

  • Before: Numbers came from spreadsheets and days-old exportsNow: Every role sees live numbers
  • Before: Problems showed up late, in reportsNow: Alerts flag problems as they happen, in plain English
  • Before: Forecasting was guessworkNow: Forecasts are part of daily decisions

Nearly 100 client engagements delivered since 2023.

Selected engagements

  • Solventis, consumer fintech

    2×

    clients assessed with the same team

    Read the case study: Solventis

  • Real estate agency, real estate

    ~2,400

    hours saved a year, estimated at handover

    Read the case study: Real estate agency

  • Apickle

    40%

    more financial reviews completed

    Automated loan assessment and prioritization increased the number of customers processed through financial review.

From a question to a decision you can check.

Reports tell you what happened. We also answer what to do about it, and whether it worked.

  1. The 23 in red are pulling back faster than their normal pattern.

What business decision is costing you money?

Tell us the one decision you would most like to get right. You will get an honest answer on whether your data can support it.

No pitch, just an honest answer. We reply within one business day.

NDA first. Read-only access or a secure export. We keep no copy of your data after the project.