Shyftlab designs, builds and runs AI systems for companies that want results, not demos. Assistants that answer from your own data, agents that clear repetitive work, and models that forecast what's coming next.
Building AI for teams in
We start with the problem that costs you the most time or money, prove the AI can solve it, then build it properly into the tools your team already uses.
Chat assistants and copilots that answer from your documents, policies and systems, with sources your team can check.
Agents that read emails, fill forms, update your CRM or ERP and hand off to a person when a judgement call is needed.
Models that predict demand, churn, credit risk or equipment failure, trained on your history and retrained as it grows.
Read invoices, contracts, KYC files and handwritten forms. Inspect products on a line. Turn images into structured data.
The pipelines, warehouses and monitoring that keep AI accurate after launch, on AWS, Azure or Google Cloud.
Web and mobile apps, integrations and cloud migration, delivered by the same engineers who build the AI.
We built Zureit because finance teams were spending days keying in bills and chasing approvals over email. It's the same engineering we bring to client projects, running every day in production.
Upload a bill and Zureit pulls out vendor, GSTIN, amounts and dates, then checks the numbers add up.
One person prepares, another approves. Nothing reaches your books without a second pair of eyes.
Every edit and approval is recorded and can't be rewritten, so audits take hours instead of weeks.
You see something usable within weeks, and you decide whether to go further at every stage.
We map your process, check your data and pick the use case with the clearest return.
A working version on your real data, measured against the targets we agreed.
Security, integrations, user interface and testing for a production launch.
Monitoring, retraining and new features as usage grows.
Commercial or open-source, in the cloud or on your own servers. We choose based on accuracy, cost and where your data is allowed to go.
Usually yes. Most projects start with messy spreadsheets, PDFs and email. Part of discovery is checking what you have and cleaning just enough of it for the first use case.
No. We use enterprise model agreements that exclude training on your data, and where needed we deploy open-source models inside your own cloud account so data never leaves it.
A discovery and prototype is a fixed price agreed up front. Full builds depend on scope and integrations; we'll give you a written estimate after discovery, before you commit to anything more.
You do. The code, trained models, prompts and documentation are handed over to you at the end of each stage.
Yes. Many clients have us build the first system alongside their engineers, then gradually hand over ownership with training and documentation.
Tell us about it. In a free 30-minute call we'll tell you honestly whether AI is the right fix and what it would take.
Hire us for one piece or for the whole journey. Every engagement is run by senior engineers who have shipped AI into production.
Assistants and copilots built on large language models, grounded in your own knowledge so answers are accurate and traceable.
Agents that carry out multi-step tasks across your systems and ask a person to approve anything important.
Custom models that learn from your historical data to predict, score and recommend.
Turn paperwork and images into clean, validated data, with people reviewing only the uncertain cases.
The foundation that makes AI reliable: data in one place, pipelines that run on time, and models that are watched after launch.
For leadership teams deciding where AI should go first, what it will cost and how to keep it safe.
Full-stack product engineering for the apps around your AI, or for projects that don't need AI at all.
Discovery plus a working prototype on your data, at a fixed price agreed before we start.
A cross-functional squad of AI, backend, frontend and QA engineers working as your team.
Add experienced AI or data engineers to your team, working in your tools and process.
Start with Zureit, adapt one of our ready-built accelerators, or have us design something specific to how your business runs.
An AI-assisted accounting approvals platform for Indian businesses. Zureit reads your bills, checks them, routes them for approval and keeps a record no one can quietly change.
Drop in a PDF, photo or scan from any vendor, in any layout.
Vendor, GSTIN, line items, tax and totals are captured and cross-checked. Anything unclear is flagged.
Your team reviews the entry, then a second person approves or sends it back with a note.
Each step is written to an append-only audit trail with who did what and when.
Tested building blocks we adapt to your data and systems, so projects start from a working base rather than a blank page.
Chat over your documents with citations, user permissions and usage analytics.
The extraction and validation engine proven in Zureit, configurable for any document type.
Answers common questions on web and WhatsApp and hands over to staff with full context.
Sales and demand forecasting with dashboards your planners can adjust and override.
Practical lessons from our projects and from running Zureit, written by the engineers who did the work.
Share a few details and a solution architect will reply within one business day to set up a free 30-minute call.
We'll reply within one business day.