01
Develop
AI solution design and custom engineering shaped around your real workflows. Production-ready applications delivered quickly, with clean architecture and code ownership retained by you.
AI consulting and implementation that earns its place in your business.
We help operations and revenue teams use AI for the work that actually moves the numbers — faster response times, leaner workflows, better-qualified pipeline, fewer manual hours. No demos. No proof-of-concepts that never ship.
Azure & AWS Hosting
CI/CD
Monitoring
Security
Human Support
How we work with you
Develop · Deploy · Support
One team, end to end. We turn AI concepts into production-ready applications, host them on managed Azure or AWS infrastructure, and support them day-to-day so your team doesn't have to. Already have a prototype? We can take it off your hands and run it safely in production.
02
Deploy
Managed Azure & AWS hosting with CI/CD, monitoring, backups, and security built in. We handle the infrastructure, deployment, and operational setup — no DevOps hires or server management required.
03
Support
Ongoing application support, dependency and model updates, performance tuning, issue resolution, and a real human to call when something needs attention.
Managed AI Hosting & Operations
Built an AI app? We’ll run it in production.
Whether your application was custom-built, generated with AI tooling — Lovable, Bolt, Replit, Cursor, v0, Claude — or developed internally, we deploy and operate it on managed Azure or AWS infrastructure with monitoring, security, backups, CI/CD, and a real human on the other end. No internal DevOps team required.
Managed Azure & AWS Hosting
Monitoring
CI/CD
Security
Human Support
Reference architecture
Your users
Your AI application
Azure App Service / AWS ECS / Container Apps
OpenAI · Claude · Open-source models
Database & storage
Monitoring · Backups · Support
Managed Azure & AWS hosting
App Service, Container Apps, and supporting services configured, scaled, and patched by us.
CI/CD & deployments
Automated pipelines, environments, and rollback so releases stop being scary.
Security & secrets
Keys in Key Vault, identity done properly, dependencies kept current — not left to rot.
Monitoring & support
Logs, alerts, backups, and a real human to call when something needs attention.
What we do
An AI consulting partner that also builds and runs the work.
Most AI projects stall between strategy and code. We close that gap. The same team that scopes your problem also designs, builds, hosts and supports the solution — so nothing gets lost in handover.
Production
Deployments shipped
Managed
cloud hosting
Human
Operational support
Automated
AI workflows
AI strategy consulting
An honest view of where AI will pay back inside your business — and where it won't. You leave with a ranked roadmap, realistic costs, and clear next steps.
AI for sales & revenue
Conversation intelligence, lead qualification, and proposal automation that help complex sales teams move faster and qualify harder.
Custom AI development
Production AI applications built around your real workflows. Owned by you, hosted by us, integrated with the systems you already run.
AI automation
We replace the repetitive work your team does manually — triage, routing, classification, document processing — with AI that runs quietly in the background.
AI training & workshops
Practical training for leadership and operating teams. Not "What is ChatGPT" — how to identify, scope, and govern AI projects in your business.
All services & pricing context →
See how we package strategy, build, and ongoing support across the full AI lifecycle.
Where AI earns its keep
We focus on the workflows where AI quietly compounds value — in operations, in revenue, and in document-heavy teams.
Sales qualification
Score and route inbound leads using your real sales history, not generic firmographics.
Proposal & bid writing
Draft stronger first-pass proposals from past wins, freeing experts to refine instead of write from scratch.
Customer support
Resolve the repetitive 80% of tickets and escalate the rest with full context attached.
Internal knowledge assistants
One assistant that knows your policies, products, and past projects — and answers in plain English.
Anonymised outcomes from real engagements
17hTime saved / week
<2%Misroute rate
18+ moIn production
Operations team buried in manual triage
AzureOpenAIPostgreSQLCRM API
The problem: Five people spending 20+ hours a week sorting and routing service requests by hand. Things were getting missed.
What we built: An AI triage layer reading incoming requests, classifying them, routing them, and flagging anomalies — integrated with the existing CRM.
Outcome: Manual triage dropped from ~20 hours/week to under 3. Misrouted requests fell from ~15% to under 2%. Running in production for 18+ months with zero unplanned downtime.
~55%Faster turnaround
4–5dAvg. bid time
↑Win rate
Bid team losing deals on slow turnaround
AzureOpenAIVector DBSharePoint
The problem: Multi-week response times on RFPs. Competitors were submitting first.
What we built: A bid management platform that surfaces what worked in past submissions and helps writers draft stronger first-pass responses.
Outcome: Average bid turnaround down from ~10 days to 4–5 days. Win rate up materially. Used daily across multiple bid teams.
78%Auto-resolved
<5sResponse time
0New hires needed
Support team answering the same question hundreds of times a day
AzureOpenAIRAGMonitoring
The problem: Thousands of repetitive queries every month. Hiring more agents wasn't sustainable.
What we built: An AI assistant trained on internal documentation that resolves queries directly and escalates only the genuinely complex ones.
Outcome: ~78% of queries resolved automatically. Response times cut from hours to seconds. Support headcount held flat as volume grew.
<3 wkTo production
100%Managed infra
24/7Monitoring
From AI prototype to production deployment
AzureKey VaultCI/CDApp Insights
The problem: A client built a working AI assistant using rapid AI tooling but had no safe way to host it, no monitoring, no secrets management, and no internal DevOps team to take it live.
What we built: Reviewed the generated architecture, productionised the deployment, moved it onto managed Azure infrastructure, secured APIs and secrets in Key Vault, and added CI/CD, monitoring, and backups.
Outcome: Production deployment in under 3 weeks — without hiring internal DevOps or infrastructure engineers. Now under ongoing managed support.
The team
The people you'll actually work with
Small team, deep experience. No account managers, no handoffs — you talk to the people building your system.
Vikram Katyani
Founder & Solutions Consultant
Vikram works closely with clients to understand how their business operates and where AI can make a practical impact. With 20+ years across digital platforms and enterprise systems, he connects business needs with technical execution.
Varun Mani
Principal AI Consultant & Architect
Varun designs AI solutions that are practical, scalable, and ready for real-world use. With 20+ years of hands-on engineering experience, he defines how systems are structured end-to-end — from application logic to infrastructure.
Vaibhav Mishra
Sr Engineer, Web Platform Development
Vaibhav is a full-stack web developer specialising in React, building dependable web platforms, interfaces, and integrations for production systems.
Ayush M.
Senior AI Engineer
Ayush builds and ships the AI applications that power client solutions, focusing on clean, reliable code across backend systems and user-facing components.
Why teams choose us over a generic agency
We ship working software
Everything we build goes into production. Not a prototype, not a demo — a real system handling real users.
We start with your problem
We don't lead with a model or a framework. We look at where time and money are leaking, then work backwards to the simplest fix.
You talk to the people building it
No subcontracting. The person designing your system is the same person debugging it at 10pm if something breaks.
We stay until it works
From the first conversation through deployment, training, and ongoing improvement — we're there. Not gone after handover.
Tell us what's slowing your team down.
We'll spend 30 minutes understanding the workflow, then tell you honestly whether AI is the right answer — and what the smallest useful first step looks like.