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+1 (213) 233-1633
India:
+91-8910802928 | Email:
sales@ztsindia.com
You’re under pressure to ship faster, support a growing user base, and add AI to your product — often without the ML depth to do it well. We help: AI across development, testing, DevOps and support, product and churn insight, and real AI features built into your own product. We’re software engineers who build AI, so we get your world — and your code and IP always stay yours, with your engineers in control.
Enterprises, SMEs and fast-growing teams trust ZTS India
Shipping slows, QA and support balloon, product decisions run on gut feel, and the pressure to add AI outpaces your ML depth. Click a panel to see the problem, how we fix it, and what changes.
Features stack up faster than the team can ship them. Skilled engineers spend time on boilerplate, reviews and repetitive work, so the roadmap slips and the backlog grows — and hiring your way out is slow and expensive.
Writing and maintaining tests is a grind, coverage has gaps, regressions sneak in, and triaging bug reports eats time. Quality depends on heroics, and every release carries a quiet anxiety about what might break.
As the user base grows, support volume grows with it, and the hardest tickets pull engineers off building. Support becomes a tax on the whole company, and response times slip just as the product needs to feel reliable.
Product decisions run on gut feel because usage data is scattered and hard to read, and churn often shows up as a surprise in the numbers rather than a signal you saw coming. You're steering with limited visibility.
The pressure to add AI features is real, but building them well — grounded, safe, performant, production-grade — needs ML and LLM expertise most product teams don't have in-house. Rushed AI features disappoint users or misbehave.
From internal leverage to the AI features in your own product — tailored to your stack, integrated with your systems, and always with your engineers in control.
Brings AI into your engineering flow — assisting with code generation, review, refactoring and documentation — so your team moves faster on the routine and focuses its energy on the hard, high-value problems. Every suggestion is reviewed and owned by your engineers; AI accelerates, it doesn't merge on its own.
Applies AI to testing and quality — helping generate and maintain tests, widen coverage, catch regressions and triage incoming bugs — so releases are more reliable and your team spends far less time on manual QA and firefighting.
Puts AI to work in operations — spotting anomalies, triaging logs and alerts, assisting on-call, and speeding root-cause analysis — so issues are caught earlier, incidents are resolved faster, and your engineers aren't drowning in noise.
Gives your users instant, accurate support — in-product and across your help channels — resolving common questions from your real docs and knowledge, taking action within your rules, and escalating the rest to your team with full context. Support that scales with your users, not your headcount.
Turns your product and usage data into clear insight — how features are actually used, where users drop off, which journeys convert — so product and growth decisions are made on evidence, not gut feel, and you build what genuinely moves the needle.
Predicts which accounts are at risk and why, surfacing the drivers early so you can act before customers leave. Retention becomes proactive — a signal you see coming and respond to — rather than a surprise in next quarter's numbers.
Helps you design and ship real AI capabilities inside your own product — copilots, semantic search, RAG-powered answers, recommendations — built to be grounded, safe, performant and production-ready. We bring the ML and LLM depth so you can add AI your users actually trust.
Gives your engineers instant, cited answers from your own docs, runbooks, code knowledge and past incidents — so onboarding is faster, tribal knowledge is captured, and people stop interrupting each other to find what they need. Answers respect your permissions and always show their source.
More than a decade delivering measurable results for enterprises, SMEs and technology companies worldwide.
Three software teams that used AI to ship faster, scale support, and add real product AI.
Challenge: A growing SaaS company’s engineers were pulled into support and QA, and the roadmap kept slipping behind demand.
Solution: We added AI to development and QA and deployed grounded in-product support, so engineers got back to building and support scaled cleanly.
Challenge: A devtools company needed an AI copilot in its product but lacked the ML depth to build it grounded and production-ready.
Solution: We designed and shipped a grounded, safe RAG-powered copilot integrated into their product, with guardrails their users could trust.
Challenge: A scale-up kept discovering churn after the fact, with no view of usage or which accounts were slipping away.
Solution: We turned their product data into usage insight and at-risk prediction, surfacing drivers early so their team could act proactively.
Get a free 30-minute assessment. We'll map your highest-return AI use cases across build, run and product, and how we'd ship them safely — no pitch.
Leverage across your whole business — and the ML depth to put AI in your own product, safely.
AI across code, review, refactor and docs.
AI test generation, coverage and bug triage.
Anomaly triage, on-call assist, faster root-cause.
In-product AI support grounded in your docs.
Feature adoption, funnels and drop-off, clear.
At-risk accounts and drivers, seen in advance.
Copilots, search and RAG, production-ready.
Cited answers from your docs and runbooks.
A structured path from your highest-return use cases to shipped, integrated AI — built to your standards, with your engineers in control.
Understand your product, stack, team, where velocity and quality suffer, and your AI ambitions.
Pick the highest-return use cases — internal leverage, support, product AI — and design for them.
Connect to your repos, CI/CD, data, product and support systems securely.
Build and integrate the AI — dev, QA, ops, support, analytics or product features — to your standards.
Add human review, IP and data security, grounding, guardrails and honest limits.
Ship a focused use case, measure velocity, quality, support or product impact, and refine.
Extend across teams and use cases, with the review and security practices you set.
Track impact, expand what AI handles, and keep everything secure, grounded and owned by you.
Your code is your business, so trust matters. We keep your IP yours, keep your engineers in control of every merge, ship product AI that's grounded and safe for your users, and stay honest about where AI helps and where it doesn't.
Your source code, data and product are yours — not used to train third-party models, not leaked, and never shared beyond what you approve. You own everything we build, full stop. IP and confidentiality are protected by design and by contract.
AI accelerates your team; it doesn’t merge unreviewed code or make engineering decisions on its own. Every AI suggestion is reviewed and owned by your engineers, so speed never comes at the cost of control or quality.
Any AI we build — internal or embedded in your product — answers from real data, cites its sources where it should, and is built not to hallucinate. We don’t ship AI that confidently makes things up to your users.
Your data and your users’ data are handled with encryption, access control, secrets management and secure engineering practices — because you’re trusting us with the core of your business and theirs.
We’re engineers first, so we’ll tell you where AI genuinely helps and where it doesn’t. We augment your team and your product with AI that works, rather than overselling it — and we’re clear about its limits.
We work alongside your engineers, transparently, and hand over something your team understands and controls. No black boxes, no lock-in you didn’t choose — your solution, your ownership.
Book a free, no-obligation consultation. We'll map your highest-return use cases — build, run and product — show how we'd ship them, and give you a costed plan, with your code and control kept yours.
Software engineering paired with deep AI, ML and data depth — the combination that ships AI that actually works, in your business and in your product.
15+ years shipping production software — we build AI as engineers who understand your world.
Tool-using agents for support, ops and enablement that act and escalate reliably.
Copilots, semantic search, RAG and recommendations built into your product, safely.
Grounding answers in real data with citations, so product and internal AI stay accurate.
Test generation, coverage and bug triage that raise quality and cut manual effort.
Deploying, monitoring and maintaining AI reliably at production scale.
Turning product data into adoption, funnel and churn insight you can act on.
The clean, connected data foundation product AI and analytics depend on.
Secure engineering, secrets management and IP protection for your code and data.
We fit your stack rather than forcing you onto ours — across languages, cloud, CI/CD, data, analytics and AI tooling.
From SaaS products and dev agencies to enterprise software, devtools and AI startups — we tailor to how you build and what you ship.
Choose the model that fits your goals, your internal capacity and how far along you already are.
Best for: teams scoping it out. We map your highest-return AI use cases and hand you a plan.
Get an assessment →Best for: teams who want it built and shipped. We design, build, integrate, safeguard and deploy end to end.
Discuss end-to-end delivery →Best for: an ongoing roadmap. Embedded AI engineers building alongside your team.
Build my team →AI for software companies draws on our full capability. Explore the services behind it.
See AI tailored to every industry we serve.
Build generative AI products and features.
The RAG and grounding behind product AI.
Scale user support with AI agents.
Run AI reliably in production.
The data foundation for analytics and AI.
The reason most of our clients come back for the next engagement.
"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!
Engineers who build AI, leverage across your whole business, real product AI, and your code and control kept firmly yours.
15+ years shipping production software means we understand your stack, your pressures and your standards — we build AI as engineers who’ve been in your seat, not outsiders.
From dev velocity and QA to support, ops, analytics and churn — plus AI features in your own product — we help software companies build faster, run leaner and ship AI.
We bring the ML and LLM depth to add AI features your users actually trust — grounded, safe and production-ready, not rushed demos that misbehave.
Your source, data and product are protected, never used to train models or leaked, and you own everything we build. Security and IP come first.
AI assists; your team reviews and owns. We augment engineering judgement rather than replacing it, and we’re honest about where AI helps and where it doesn’t.
We integrate with your stack, tailor to your product, and stay with you as you grow — outcomes that fit, with no black boxes or lock-in.
Tell us your product, stack and where the friction is. We'll come back with an honest view of your highest-return AI use cases, how we'd ship them, and a transparent estimate — free.
Two broad things. First, AI that helps you run and build better — accelerating development, testing and QA, easing DevOps and incident load, automating user support, and turning product data into usage and churn insight. Second, AI you ship inside your own product — copilots, semantic search, RAG-powered answers and recommendations — built grounded, safe and production-ready. Because we’re a software engineering firm ourselves, we cover both the internal-leverage side and the product side, tailored to your stack and standards, with your engineers always in control.
It means we understand your world from the inside: your stack, your release pressures, your quality standards, and what "production-ready" really means. We build AI as engineers who’ve shipped software for 15+ years, not as a generic AI vendor bolting something on. That shows up in how we integrate with your repos and CI/CD, how we keep your engineers in control, and in being honest about where AI genuinely helps versus where it’s hype.
No. AI assists your engineers — generating, reviewing and refactoring — but every suggestion is reviewed and owned by your team before it goes anywhere. AI accelerates the routine so your people focus on the hard problems; it doesn’t merge unreviewed code or make engineering decisions on its own. Speed never comes at the cost of your control or quality.
Yes, absolutely. Your source code, data and product stay yours — they’re not used to train third-party models, not leaked, and never shared beyond what you approve, protected by design and by contract. You own everything we build. For a software company your code is the business, so IP protection and security are foundational to how we work, not an afterthought.
Yes — this is a core offering. We help you design and ship real AI capabilities in your product: copilots, semantic search, RAG-powered answers, recommendations and more, built to be grounded, safe, performant and production-ready. We bring the ML and LLM depth most product teams don’t have in-house, so you can add AI features your users genuinely trust rather than rushing something that disappoints or misbehaves.
Any AI we build to face your users is grounded in real data and knowledge using retrieval techniques, cites or links its sources where appropriate, and is built with guardrails so it declines or escalates rather than inventing answers. We test for it, monitor it in production, and design the experience so users can trust what the AI tells them. Shipping AI that confidently makes things up to your customers is exactly what we engineer against.
Yes. We deploy AI support that resolves common user questions in-product and across your help channels — grounded in your real docs and knowledge — takes action within your rules, and escalates the rest to your team with full context. Support scales with your user base instead of your headcount, and your engineers stop getting pulled off building to answer tickets.
We work with your languages and frameworks (Python, TypeScript, React, Node, Go, Java and more), cloud and DevOps (AWS, Azure, GCP, Docker, Kubernetes, Terraform), CI/CD and observability (GitHub Actions, GitLab, Datadog, Sentry, PagerDuty), data and ML platforms (Snowflake, Databricks, dbt, MLflow), product analytics (Amplitude, Mixpanel, PostHog), and RAG/vector and security tooling. We fit your stack rather than forcing you onto ours.
Not at all. Startups and scale-ups are among the best fits, precisely because you feel velocity, support and product-AI pressure acutely but may lack ML headcount. We can start small and focused — often piloting one high-value use case in a few weeks — and grow with you, whether that’s embedding an AI feature, scaling support, or adding development leverage. The initial assessment is free.
We start with a free assessment to map your highest-return AI use cases across build, run and product. Then we usually pilot a focused solution — often in a few weeks — so you see the impact before scaling. Cost depends on the use cases, your stack and integrations; we work fixed-scope to begin so value is clear, then expand per solution or as an embedded team. The initial call is free.
