AI That Works.
Software That Lasts.
Anyone can demo AI. We put it into production. Xlorit builds AI agents, RAG systems and intelligent automations, plus the web and mobile platforms they run on. And because we engineer with AI at every step, you ship faster without giving up reliability.
- AI Agents
- Multi-Agent Systems
- RAG
- AI Copilots
- Automations
10K+
Active Daily Users
40%+
Efficiency Gains
95%
AI Flagging Accuracy
7+
Years Building Software
AI That Works in Production
Most AI projects stall after the demo. We engineer AI the way we engineer any production system: tested, observable, and built to hold up with real users.
The technology behind AI that works
We work across leading AI models, agent frameworks and vector databases, and the cloud, web and mobile stack that runs them in production. Model-agnostic, so you're never locked to a single provider.
- 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
Our Process
Contact UsWe keep things simple and structured so you always know what's happening next. Clear steps, steady progress, and no unnecessary complexity.
Discovery Call
We begin by understanding your technical constraints, team structure, and business objectives, including where AI will genuinely help and where it won't. This shapes every architectural decision that follows.
Technical Build
Architecture is documented, approved, and built in AI-assisted sprints. AI features are evaluated against real cases before release, and milestones are tied to measurable engineering outcomes.
Build & Scale
Systems are load-tested, hardened, and handed over with full observability, including AI output quality and cost monitoring. We remain available for long-term engineering support.
Case Study Teasers
We take a structured approach to improving real products. Every decision is made with performance and long-term growth in mind.
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.
Our Services
Strategic Engineering Services
AI Development
AI agents, RAG systems, copilots and automations that work in production, built with the output validation, evaluations and monitoring that keep them reliable.
Web Development
From backend architecture to frontend delivery, we build web applications engineered to handle real traffic and scale without rework.
Mobile Application Development
We build cross-platform mobile apps with Flutter, tested under real network conditions and device fragmentation before they ever reach a client demo.
UI/UX Design
We design interfaces around how people actually use the product, not as a decorative layer added at the end.
AI that works. Built for scale. Engineered for clarity.AI that works. Built for scale. Engineered for clarity.AI that works. Built for scale. Engineered for clarity.AI that works. Built for scale. Engineered for clarity.AI that works. Built for scale. Engineered for clarity.AI that works. Built for scale. Engineered for clarity.AI that works. Built for scale. Engineered for clarity.AI that works. Built for scale. Engineered for clarity.AI that works. Built for scale. Engineered for clarity.AI that works. Built for scale. Engineered for clarity.AI that works. Built for scale. Engineered for clarity.AI that works. Built for scale. Engineered for clarity.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.
Senior engineers at the core, AI agents in the loop. Select a standard to see where it fits.
How We Engineer
These aren't slogans. They're the standards every engagement is held to, from a two-week build to a multi-year retainer.
Every engagement starts with a documented system architecture review. We don't write a line of code until we understand the constraints, failure modes, and growth trajectory of your platform.
We design for growth that hasn't happened yet, not just the traffic you have today. One client engagement has run for over two years without a rebuild, because the original architecture was built to absorb growth instead of resisting it.
We use AI across planning, coding, review and testing, with senior engineers owning every decision. You get faster delivery without trading off code quality or reliability.
Most of our engagements don't end at launch. Several of our enterprise clients have kept us on for ongoing support over multiple years, including one relationship now in its fourth year of continuous use.
We hold AI to the same standard as the rest of the system. Outputs are validated before they reach users, features are evaluated against real cases, and quality and cost are monitored after launch, so the AI behaves the same on every request.
Structured Engineering
An appraisal management system delivered 97% bug-free under an urgent two-month deadline, the clearest proof of our process discipline.
View Case StudyAdvanced Architecture
A B2B credit card payment platform with four payment gateways and SMS verification coordinated into one distributed system.
View Case StudyReliable Performance
An AI-assisted recruitment and admissions platform serving 10,000+ concurrent users, still running reliably in its fourth year.
View Case StudyTestimonials
What it's like to work with us, shared by the teams we've partnered with.
Have Questions?
We keep our process transparent and our answers direct. If your question isn't here, reach out — we respond to every message personally.
Contact us for moreWe begin with a discovery call to understand your technical landscape, then produce a scoped architecture proposal. Once approved, we work in two-week sprints with weekly engineering syncs and continuous documentation.
It depends on scope. Fixed-scope projects have ranged from a few weeks to four months, depending on complexity. Staffing and retainer engagements are ongoing, with several of ours running one to two years or more.
We've worked with early-stage startups, enterprise teams, and established institutions across fintech, ecommerce, real estate, and education. Our clients range from enterprise product teams to single-founder SaaS products.
We're model-agnostic. We choose the model for each task based on accuracy, speed, cost and data requirements, and design the system so models can be swapped as better options appear, without a rebuild.
Your data stays yours. We use providers and configurations that don't train on your data, apply access controls so AI only sees what it should, and can deploy within your own cloud when compliance requires it.
Yes. Most stalled AI projects fail on reliability, not the model: inconsistent outputs, no evaluation, rising costs. We audit what exists, add the validation and monitoring it's missing, and get it production-ready.
Start with an AI Discovery Sprint. In two weeks we assess your use cases, build a working prototype for the most promising one, and give you a clear go or no-go before you commit to a full build.
Yes, always. All engagements are covered by a mutual NDA before any technical discovery begins. We treat client IP and system details with the same discipline we apply to engineering.
Ready To Put
AI To Work?
Let's talk about your platform, where AI can make a real difference, and how we can help you scale with confidence.
Build With Clarity,
Not Guesswork
Tell us about your platform and your constraints. We'll tell you exactly what it would take to get it right.
- Expect a response within 24 hours
- Happy to sign an NDA if needed
- Get practical input from engineers who've shipped production systems
Mohammed Ibrahim
Founder & CEO