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The gap between an AI pilot and a working enterprise system is almost always the same — unreliable outputs, data that isn't ready, no integration path and no owner. We build custom AI that clears that gap: the right technique for your problem, trained on your data, integrated with your stack, and yours to own.
Enterprises, SMEs and fast-growing teams trust ZTS India
The gap between an AI pilot and a working enterprise system is almost always the same set of problems. Click a panel to see the challenge, how we solve it, and what changes.
Accuracy looks good in the notebook, the demo lands well, and six months later nothing measurable has moved. The model was built to score well, not to change a decision anyone actually makes.
Labels are inconsistent, history is short, definitions differ by department, and nobody owns quality. Train on that and the model learns your mess faithfully.
The PoC was built to impress, not to run — no evaluation harness, no monitoring, no thought given to load, cost or the day the data shifts. Productionising it means starting again.
The model sits behind a notebook or an endpoint nobody calls. The team it was built for still works in the CRM, the ERP and a spreadsheet — none of which know it exists.
A SaaS tool trained on generic data cannot learn your product mix, your seasonality or your edge cases. You rent it forever, cannot tune it, and any competitor can buy the same subscription tomorrow.
From predictive models and computer vision to generative AI, agents and RAG knowledge systems — every service is built to integrate with your existing stack and move a metric you already track.
Bespoke models trained on your own data for the problems no vendor sells a product for — forecasting, scoring, classification, optimisation. Built for your edge cases, not the average of everyone else's.
When language is the interface, we build on foundation models — grounded in your content, guard-railed, and engineered for cost and accuracy in production rather than a convincing demo.
Agents that complete real multi-step work across your tools — reading, deciding and acting — with approval gates wherever a mistake would be expensive.
Assistants embedded inside the software your team already works in, carrying full context from live records — so help arrives without anyone changing tabs.
Turn your document estate into something answerable. Retrieval grounded in your own content, permission-aware per user, with citations back to the source.
Models that see what matters on your line, in your images or across your documents — detection, inspection, OCR and counting, deployed to cloud or edge.
Systems that recommend an action, not just a number — combining prediction with optimisation, simulation and business rules so the output is a decision a manager can act on.
A model is a product, not a deliverable. We build the pipelines that version, test, monitor and retrain it, so accuracy and cost stay under control after go-live.
More than a decade delivering measurable results for enterprises, SMEs and technology companies worldwide.
Three problems no off-the-shelf product could solve.
Challenge: An off-the-shelf forecasting tool couldn't handle their SKU mix or seasonality. Planners overrode it constantly and quietly went back to spreadsheets.
Solution: A custom model trained on their own order history plus external signals, delivered inside the planning workflow the team already used.
Challenge: Visual inspection was manual, inconsistent across shifts, and defects were reaching customers.
Solution: A custom vision model trained on their own defect images, deployed to the edge for real-time inspection with human review on low-confidence calls.
Challenge: A niche, high-volume document type with no off-the-shelf tool. Processing was manual, slow and hard to audit.
Solution: A custom extraction pipeline with LLM validation, confidence scoring and human review on exceptions, integrated into their existing workflow.
Get a free 30-minute scoping call. We'll tell you which technique actually fits, what your data can support, and what it would cost to build — no pitch.
We're not an LLM shop. We pick the technique that solves your problem best — often the cheapest, most reliable one rather than the most fashionable.
Forecasting, churn, risk scoring and demand planning trained on your own history.
Complex pattern recognition where classical models plateau — signals, sequences, embeddings.
Classification, extraction, sentiment and intent across your documents and conversations.
Detection, segmentation, OCR and inspection for physical and document-heavy workflows.
Copilots, content generation and RAG grounded in your own knowledge base.
Multi-step, tool-using systems that complete work with human approval where it matters.
Ranking, next-best-action and personalisation tuned to your catalogue and customers.
Prediction combined with optimisation and rules, so the output is a decision, not a number.
Eight stages, each with a defined output — so you always know what is being built, why, and what comes next.
Define the use case, the decision it changes, the metric it must move and the constraints around it.
Audit what data exists and what it can honestly support. Feasibility spike before commitment.
Select the technique, design the architecture, and plan for security, cost and scale upfront.
A working prototype on production architecture, tested against real data and agreed criteria.
Engineer the model and system, with an evaluation harness and guardrails built alongside.
Accuracy, bias, load and user acceptance testing before anything touches live operations.
Integrate into your stack and roll out in phases, with training and a fallback path.
Monitor drift, quality and cost. Retrain and improve against the metric from step 1.
Book a free, no-obligation discovery call. We'll pressure-test the use case, tell you honestly what your data can support, and give you a costed plan with a realistic timeline.
From models and NLP to MLOps pipelines and enterprise integration — the technical depth production AI actually needs.
Forecasting, churn, risk scoring and recommendation systems built on your own historical data.
Classification, extraction, sentiment and intent detection across unstructured text.
Detection, segmentation, OCR and quality inspection, deployed to cloud or edge.
Model selection, RAG architecture, prompt and evaluation strategy, fine-tuning where justified.
CI/CD for models, versioning, monitoring, drift detection and automated retraining.
Ingestion, transformation, labelling and feature stores that keep models fed with clean data.
APIs, middleware and event pipelines that put model output where the decision happens.
Benchmarking, bias testing, explainability and red-teaming before anything ships.
AWS, GCP and Azure architectures sized for real traffic, real latency and real budgets.
A modern, enterprise-grade stack chosen to fit your architecture, budget and compliance boundary — not our comfort zone.
Domain-aware AI built around your workflows, your data realities and your compliance obligations.
Custom development is one part of what we do. Explore our wider AI and data capabilities.
Readiness assessment, use-case prioritisation and a costed roadmap.
LLM apps, RAG systems, chatbots and AI agents.
Connect AI to your CRM, ERP and existing workflows.
Predictive models, recommendation engines and forecasting.
Pipelines, warehousing and BI to power your AI.
Image and video detection, OCR and quality inspection.
The reason most of our clients come back for their next AI project.
"ZTS successfully built a well-designed website. The communication and effectiveness were great."
"I have to thank both Sharmila and Sourav for all their timely help in developing a World Class Website they were always ready to guide and help me and their support is really appreciated"
"Thanks to Zebra’s expertise Shopify developer who built my Shopify store. The user interface for managing tools is clear and concise, and easily accessible from the control panel. Also, they seamlessly transfered my old site from WIX to Shopify. I highly recommend ..."
"Thanks to ZTS developers, highly experienced and skilled to develop web applications with API integrations. I was expecting user-friendly options for both web app development and UI/UX designs and they provided me with that. And, the most impressive thing I found is ..."
They delivered beyond expectations — our project saw real growth thanks to ZTS Infotech's passion and commitment
Ms. Shikha Bhatia shares her positive experience with Zebra Techies Solution, where she talks about how our Organic Social Media Management Services helped her brand achieve consistent engagement and authentic growth!
They went above and beyond to support us during challenging times. The ZTS Infotech team delivered with dedication, professionalism, and care — truly a partner we can count on!
They helped us turn hurdles into wins — Sam's e-commerce transformed thanks to ZTS's committed support
Outstanding collaboration and flawless execution — ZTS Infotech made the entire process smooth and truly result-driven!
A partner that builds AI systems which survive contact with production — and hands them over properly.
Sometimes the answer is an LLM. Often it's a forecasting model, a vision system or better data engineering. We'll tell you which.
Prototypes run on production architecture. Evaluation, monitoring and cost control are built alongside, not bolted on.
The model, the code and the pipelines are yours. No per-seat licence, no lock-in, no renting your own data advantage.
15+ years of integration engineering means the output lands in the CRM, ERP or app your team already uses.
Evaluation, bias testing, explainability and audit trails as standard — so legal and risk sign off the first time.
Data, models, integration, frontend and DevOps under one roof. Nothing gets lost between vendors.
Tell us what you're trying to change. We'll come back with an honest view of what's possible with your data, the technique that fits, and a transparent estimate — free.
Building an AI system designed around your specific problem, trained on your own data and integrated with your own systems — rather than subscribing to a generic tool. It covers choosing the right technique, engineering the model, validating it, deploying it and keeping it accurate in production.
Off-the-shelf tools are trained on generic data and built for the average customer, which is why they struggle with your edge cases, product mix or terminology. Custom AI learns from your data and fits your workflow — and you own it, rather than renting a capability any competitor can also buy.
Yes. The models, code, pipelines and documentation are yours, in your repositories and your infrastructure. There is no per-seat licence and no dependency on us to keep it running — though most clients choose to keep us on for optimisation.
A working prototype typically takes three to six weeks. A production-ready system usually lands in two to four months, depending on data readiness, the technique involved and how many systems it must integrate with. We start small and expand once value is proven.
Not always. Some problems need years of history; others work from a few thousand well-labelled examples, and some need almost none because they build on foundation models. The data assessment answers this honestly before you commit budget.
No, and this is worth saying plainly. LLMs are excellent for language problems and expensive overkill for many others. Forecasting, scoring, vision and optimisation problems are often solved better, cheaper and more reliably by classical machine learning. We recommend the technique that fits.
Yes — that is usually the difference between a model and a result. We build the APIs, pipelines and middleware to deliver output into your CRM, ERP, e-commerce platform or internal tools, including legacy systems without modern APIs.
We build an evaluation harness before we build the model, then monitor accuracy, drift, latency and cost in production with alerting. When data shifts, retraining pipelines are already in place rather than being invented in a crisis.
You can maintain it yourself, since the code and documentation are yours, or keep us on for monitoring, retraining and optimisation. We hand over properly either way: documented, source-controlled and with your team trained on it.
It depends on the technique, the state of your data and the number of integrations. We price a fixed scope for well-defined projects, or a monthly dedicated team for evolving roadmaps. The discovery call and initial scoping are free.
