Creensight

Artificial intelligence is one of the four things we design at Creensight — alongside engineering excellence, human experience and digital products. We focus on AI that solves a measurable business problem, not demos that never reach production.

Using Python and the leading model providers and open-source models, we build assistants that answer from your own documents, automate document-heavy work, and predict what happens next in your business — with privacy and human oversight built in.

What we deliver

AI assistants & chatbots

Retrieval-augmented (RAG) assistants that answer from your policies, manuals and knowledge base, on your website, WhatsApp, Slack or Teams.

Document intelligence

Extract data from invoices, forms, contracts and KYC documents; classify, validate and push to your systems.

Predictive analytics

Demand forecasting, churn prediction and lead scoring built on your historical data.

Computer vision

Image classification, defect detection, OCR and counting for manufacturing, retail and logistics.

Workflow automation with LLMs

Summaries, drafting, triage and routing for support, sales and operations teams.

AI strategy & governance

Use-case discovery, ROI estimates, data readiness, privacy (DPDP Act) and responsible-AI guidelines.

How we work

01

Use-case discovery

Find the tasks where AI saves time or money and define success metrics.

02

Data review

Check data availability, quality and privacy constraints.

03

Prototype

A working proof of concept on your real data in weeks, evaluated against the metrics.

04

Production build

Secure APIs, user interface, monitoring, cost controls and human review steps.

05

Improve

Evaluate answers and predictions continuously and retrain or tune as needed.

Technologies

PythonPyTorchscikit-learnOpenAIAnthropic ClaudeGoogle GeminiHugging FaceLangChainpgvectorFastAPIGCP Vertex AIAWS Bedrock

Engagement models

Fixed-scope project

Clear scope, milestones and price. Best for well-defined requirements.

Dedicated developer / team

Developers who work only on your project, communicate with you directly, with task tracking. Scale up any time.

R&D / feasibility

A short paid study to research requirements and check feasibility before you invest in a full build.

Frequently asked questions

Is our data safe with AI?
We design for privacy: data minimisation, access controls, providers with no-training agreements, and on-premise or private-cloud models when needed.
Do we need a lot of data?
Not always. Assistants built on your documents need only the documents; predictive models need historical records, which we assess first.
How quickly can we see results?
A focused prototype on your data typically takes 2–6 weeks.
Can AI replace our staff?
Our goal is to remove repetitive work so your team can focus on judgement and customers; we always keep humans in control of important decisions.

Start your ai & machine learning project

Tell us what you need. Our team will reply with questions, a rough estimate and the right people for the job.

Request a free consultation

Other services

Discuss your ai & machine learning project

Share your requirements and we’ll reply with questions, a rough estimate and the right team.

Request a free consultation