AI Development Services
That Work in Production.
AI That Works. Software That Lasts.
We build AI agents, RAG systems, copilots and automations, plus the web and mobile products they run on. Every service is delivered by senior engineers to the same production standard.
- No training on your data
- Deploy in your own cloud
- 2-week AI Discovery Sprint
“We build AI the way we build any production system: clear architecture, tested before release, and monitored after launch.”
PRODUCTION-FIRST COMMITMENT · XLORIT SERVICES
What We Build
Six AI services and three core engineering services, delivered by one senior team. Select any service to jump to the full details.
AI Services
Product Engineering
AI Development Services
Most AI projects stall after the demo. Each of these services is engineered like production software, with validated outputs, evaluations, guardrails and monitoring built in from the start.
AI Agents & Multi-Agent Systems
We build AI agents that do more than chat. They call your APIs, read and update your systems, and hand off to a person when a decision needs one. For larger workflows we split the work across several specialised agents, each with a narrow job, clear permissions and its own checks, so the whole system stays predictable.
WHO THIS IS FOR
Teams with a high-volume, multi-step process, such as enquiries, scheduling, follow-ups or internal requests, that currently depends on people switching between tools, and who want it handled around the clock without losing oversight.
What You Get
- Agents connected to your real tools and data, not a standalone chatbot
- Clear permissions, with hand-off to your team for decisions that need a person
- Coverage across text, email, chat and phone where the use case calls for it
- A log of every agent action, so your team can review what happened and why
RAG & Knowledge Systems
Retrieval-augmented generation (RAG) connects a language model to your own documents, databases and knowledge bases. We handle the parts that decide answer quality: how content is split and indexed, how results are ranked, how sources are cited, and who is allowed to see what.
WHO THIS IS FOR
Teams whose knowledge lives in documents, wikis, tickets or databases, and whose staff or customers spend too long searching for answers that already exist somewhere.
What You Get
- Answers grounded in your content, with citations back to the source
- Access controls, so each user only retrieves what they're permitted to see
- An evaluation set of real questions to measure answer quality before and after launch
- An indexing pipeline that keeps answers current as your content changes
AI Copilots & Product Features
We build AI into your product where it saves users real effort: natural-language search, in-app copilots, summaries and data extraction. Every feature is designed around an existing user workflow, with structured outputs your frontend can rely on.
WHO THIS IS FOR
Product teams with an existing web or mobile product who want AI features their users will actually use, not a chat window added to the corner of the screen.
What You Get
- AI features scoped to specific user workflows, each with a clear success measure
- Structured, validated outputs, so the interface never has to handle malformed responses
- Guardrails that keep the copilot inside its intended scope
- Product, design and engineering from one team, since AI is only as good as the experience around it
AI Automations & Workflows
We integrate AI directly into existing workflows, from automated quality analysis to triage and data processing. Built to reduce manual work without adding a fragile layer that breaks the moment the underlying model changes.
WHO THIS IS FOR
Teams with an existing product or process who have a specific, repetitive manual task they want automated, not teams looking for AI for its own sake.
What You Get
- AI integration scoped to a specific workflow, not a vague "add AI" mandate
- Hallucination-aware design, including guardrails appropriate to the use case
- Real-time feedback loops where the use case calls for it
- Clear documentation of model dependencies and fallback behaviour if the AI service degrades
Typical builds start at 4–10 weeks depending on integration complexity and the scope of automation.
AI Reliability & Guardrails
The engineering that takes AI from demo to production. We add structured output validation, evaluation suites built from real cases, guardrails, monitoring and cost controls, either as part of a new build or to fix an AI feature that already exists but can't yet be trusted.
WHO THIS IS FOR
Teams with an AI pilot or feature that works in demos but behaves inconsistently with real users, gets expensive at volume, or has no way to tell whether a change made it better or worse.
What You Get
- Output validation, so malformed or off-policy responses are caught before users see them
- An evaluation suite to test prompt, model and data changes before they ship
- Monitoring of quality, latency and cost per request after launch
- A model-agnostic design, so models can be swapped as better options appear, without a rebuild
AI Discovery Sprint
A fixed two-week engagement for teams that know AI could help but aren't sure where. We audit your use cases against your data and workflows, build a working prototype of the most promising one, and give you a clear go or no-go before you commit to a full build.
WHO THIS IS FOR
Teams with several possible AI ideas and no clear first step, or leaders who need evidence, not a slide deck, before approving an AI budget.
What You Get
- Week 1: a use-case audit, ranked by value, feasibility and data readiness
- Week 2: a working prototype of the strongest use case
- A clear go or no-go recommendation, with the risks stated plainly
- If it's a go, a scoped plan for the full build
Two weeks, fixed scope. Your data is never used to train AI models, and we can work inside your own cloud.
Book an AI Discovery SprintProduct Engineering
The web, mobile and design work that AI features depend on, and products that stand on their own. We build them with AI-assisted engineering, with senior engineers owning every decision, so you ship faster without trading off quality.
Web Development
End-to-end product engineering, from API design and database architecture to frontend delivery. We build complete platform surfaces engineered for real-world load, type-safety, and long-term developer ergonomics.
WHO THIS IS FOR
Post-MVP startups that have validated their product and now need a production-grade engineering team to rebuild or scale their platform without accumulating technical debt.
What You Get
- Production-ready codebase with full test coverage and CI/CD pipelines
- Horizontally scalable architecture designed for your next 10x growth phase
- Clean API contracts and documented data schemas your internal team can inherit
- Performance-optimised frontend with sub-second load times and accessibility compliance
Typical builds start at 8–16 weeks depending on platform complexity. We scope every project with a documented architecture proposal before any code is written.
Mobile Application Development
Cross-platform mobile engineering built with Flutter, from initial architecture through app store deployment. We design for real device fragmentation and inconsistent network conditions, not just a clean demo environment.
WHO THIS IS FOR
Startups and product teams that need a single codebase serving iOS and Android without sacrificing performance or native feel, especially teams who can't yet justify separate native engineering teams for each platform.
What You Get
- Single Flutter codebase deployed to iOS and Android from one engineering effort
- Offline-first architecture that handles real-world network drops gracefully
- App store submission support, including compliance and review preparation
- Performance profiling across device tiers, not just flagship hardware
Typical builds start at 6–14 weeks depending on platform complexity and integration scope.
UI/UX Design
Interface design grounded in how people actually use your product, not how it looks in a static mockup. We validate real user flows before a single screen is finalized, then hand off a design system your engineering team can implement without guesswork.
WHO THIS IS FOR
Founders and product teams who can build but need the interface itself designed properly, or teams inheriting a product whose UX has become a barrier to adoption.
What You Get
- Validated user flows tested against real usage patterns, not just stakeholder opinion
- A documented design system your engineering team can implement consistently
- Accessibility considered from the first wireframe, not retrofitted later
- Direct handoff into development, since the same team can build what's designed
From First Contact to Active Engagement
Three steps. No ambiguity. You always know what happens next.
Technical Discovery
Audit
We start with a deep-dive into your current system: architecture, codebase, data, infrastructure, and team constraints, including where AI will genuinely help and where it won't. This shapes every recommendation that follows.
Architecture Plan
Proposal
We deliver a documented architecture proposal with clear milestones, technology choices, risk assessments, and a realistic timeline. For AI features, it also defines how quality will be measured. No work begins until you approve.
Iterative Delivery
Build
We work in two-week, AI-assisted sprints with weekly engineering syncs, continuous documentation, and live demos of working features. AI features are evaluated against real cases before release.
Four Ways to Work With Us
Different buyers need different structures. A startup wants a fixed MVP build. An enterprise wants a retainer. A team exploring AI wants evidence before it commits a budget. We support all of them.
AI Discovery Sprint
Two Weeks, Go or No-Go
A fixed two-week engagement to find where AI fits: a use-case audit, a working prototype of the strongest idea, and a clear go or no-go before you commit to a full build.
- Use-case audit ranked by value and feasibility
- Working prototype of the strongest use case
- Go / no-go recommendation with next steps
Fixed Project Delivery
Scoped, Defined, Delivered
Pre-defined scope with clear milestones and deadlines. Ideal for greenfield platform builds, AI feature builds, system migrations, or API integrations where the outcome is well-defined from the start.
- Guaranteed milestone-based delivery cycles
- Fixed budgetary controls with no scope creep
- Full documentation and component handover
Staffing Retainer
Ongoing Embedded Team
Dedicated senior engineers integrated into your sprint processes. They attend your standups, follow your conventions, and ship within your release cycles, while elevating your codebase standards.
- Slack & board alignment with your team
- Daily developer standups and sprint participation
- Continuous knowledge sharing and code reviews
One-Time Audit
Architecture Review
A focused technical assessment of your current system, including any AI features: architecture, codebase quality, infrastructure, and performance bottlenecks. You get a written report with actionable recommendations.
- Comprehensive architecture review document
- Risk assessment and remediation priorities
- Actionable roadmap for immediate improvements
Who This Is For
Our services are built for teams that need more than code: AI that holds up with real users, and an engineering partner who understands what it takes to scale.
Teams With Stalled AI Pilots
You have an AI demo that impressed the room. Now it needs to work reliably for real users, at real volume, at a cost that makes sense.
Teams Stuck in Manual Workflows
Your team spends real hours on repetitive work, such as support triage, status reporting or data reconciliation, that the right AI integration could handle.
Post-MVP & Growing SaaS
You've validated the product and now need a platform that scales, plus AI features your users will actually use, without piling up tech debt.
Enterprise Teams
Internal teams with legacy constraints looking for an engineering partner who can modernise infrastructure without disrupting live operations or existing revenue.
Tools & Technologies
We're model-agnostic: we choose the model for each task on accuracy, speed, cost and data requirements, then run it on a cloud, web and mobile stack built to last.
- OpenAI
- Claude
- Gemini
- Llama
- Qwen
- Hugging Face
- Ollama
- LangChain
- LangGraph
- AutoGen
- Nomic
- Qdrant
- Chroma
- Next.js
- React
- Node.js
- Django
- Flutter
- AWS
- Azure
- DynamoDB
- Redis
- Firebase
- GitHub Actions
Proof From Real Engagements
Services without proof are claims. Here are outcomes from our real engagements, AI work first: measurable results delivered under constraint.
PropTech Revenue Intelligence Platform
0 → fully shipped SaaS: 6 modules, 60+ features, 500,000+ records synced
Built a multi-integration PropTech SaaS from zero, with a 24x7 multilingual prospect AI agent and a sync layer that unifies AppFolio, Rent Manager and Rentvine data and catches its own failures.
AI-Powered Event Marketplace
Structured AI output enforced: no malformed responses reaching the frontend
An all-in-one event marketplace connecting vendors, planners and customers, where AI search and a vendor copilot had to work reliably in production, not just in demos.
Teams Call Quality AI Analyzer
50% fewer support tickets, with 95% AI flagging accuracy
Every Microsoft Teams call quality complaint meant a support ticket and a manual investigation call. We built an AI monitoring layer that flags real issues before they become tickets.
Indian Grocery Ecommerce Platform
$5,000+/month in lost revenue recovered, 98.27% crash-free
A US online grocery platform for the Indian diaspora had a webview app with no crash visibility and a silent billing flaw. We rebuilt the foundation and shipped native apps on top of it.
Enterprise Appraisal Management System
Delivered production-ready in 2 months for 500+ workers, then awarded a second project
A multinational agribusiness needed its tea estate and factory worker appraisals off paper and spreadsheets, live before a fixed appraisal cycle just two months away.
B2B Credit Card Payment Platform
0 → fully shipped app, backend and admin panel, with gateway and OTP fallback
An early-stage FinTech startup wanted businesses to pay rent, GST and vendors by credit card. We built the full platform, and proposed the architecture that made it production-safe.
Unified Infrastructure Monitoring Dashboard
One live view across all regions, and 40% lower storage costs
An enterprise's IT teams watched FreshService, Zscaler and other tools separately, so outages slipped through. We built one real-time dashboard for the head office, and caught a hidden cost problem along the way.
Faculty Recruitment Management System
75% less screening time, validated at 10,000+ concurrent users
One of India's most prestigious arts and science colleges screened 800+ faculty applications by hand. We digitized the entire hiring lifecycle and load-tested it to 10,000+ concurrent users.
Questions About Our Services
These are the questions we hear most from technical buyers and founders evaluating our services. If yours isn't here, reach out. We respond to every message personally.
Contact us for moreBoth. AI leads our work, but Web Development, Mobile Application Development and UI/UX Design are core services in their own right. Most AI features need a product around them, and one team building both avoids hand-off gaps.
It's a fixed two-week engagement. In the first week we audit your possible use cases against your data and workflows; in the second we build a working prototype of the strongest one. You finish with a clear go or no-go before committing to a full build.
We treat AI like any other production system. Outputs are validated against a defined structure before they reach users, features are tested against an evaluation set of real cases, and quality, latency and cost are monitored after launch.
Both. A significant portion of our work involves inheriting, auditing, and improving existing systems, including AI features that work in a demo but not yet in production. We're comfortable with legacy codebases, poorly documented projects, and complex monoliths.
Yes. Many engagements start small, with an AI Discovery Sprint, a technical audit or a single platform build, and expand into an ongoing retainer once we've proven fit. We don't require a long-term commitment upfront.
Both. Fixed Project Delivery and the AI Discovery Sprint use fixed scope and pricing with clear milestones. Staffing Retainer engagements are billed on a time basis, with guaranteed monthly hours. We'll recommend the right structure based on how well-defined your requirements are.
Documentation is built throughout the engagement, not written at the end. Every handover includes architecture documentation, clean API contracts, and a walkthrough session with your team before we step back.
It depends on the engagement type. An AI Discovery Sprint runs two weeks, and a One-Time Audit can be scoped in a single week. Fixed Project Delivery and Staffing Retainer engagements are typically structured around a minimum of four weeks.
Not sure which service fits your situation?
Book a free 30-minute discovery call. We'll tell you what you need, including whether AI is the right answer at all. No pitch deck, no sales pressure: just a direct technical conversation about your system.