AI Strategy & Readiness
Identify the AI use cases worth funding, score them by ROI, and get a clear plan covering data, infrastructure, and build-vs-buy decisions.
AI Services For Every Stage Of Adoption
Whether you are exploring your first use case or scaling AI across the enterprise, we bring the same engineering discipline we apply to cloud, DevOps, and product development to every AI engagement.
GenAI Assistants & RAG
Chatbots and copilots that answer from your documents, policies, and systems, with source references and access control on every answer.
AI Agents & Automation
Agents that take action across tickets, CRM, email, ERP, and internal APIs, with human-in-the-loop approvals where it matters.
AI-Powered Mobile & Web Apps
In-app assistants, smart search, voice, image and document capture added to React Native, iOS, Android, and web products.
Document Intelligence
Extract, classify, and validate data from invoices, KYC forms, contracts, and reports for straight-through processing.
LLMOps & AI Cloud Platforms
Secure, cost-controlled AI infrastructure on AWS Bedrock, Azure OpenAI, and Vertex AI, built with Terraform, Kubernetes, and CI/CD.
AIOps For DevOps & SRE
Reduce alert noise, speed up root-cause analysis, and automate runbooks with AI on top of Splunk, Datadog, and CloudWatch.
AI Security & Governance
PII redaction, data residency, guardrail and prompt-injection testing, audit trails, and usage policies your risk team can sign off.
From Idea To Production AI
A structured path that proves value early and keeps security, cost, and reliability under control as you scale.
- Discover: Map workflows, data sources, and the business metric AI should move.
- Prototype: Build a working pilot quickly, on your real data, inside your cloud.
- Evaluate: Measure accuracy, safety, latency, and running cost before scaling.
- Productionize: Harden with CI/CD, monitoring, access control, and guardrails.
- Operate: Ongoing tuning, model upgrades, and 24x7 support after go-live.
Where AI Pays Off First
Practical starting points for the industries we already serve.
Financial Services & FinTech
- KYC and onboarding document extraction
- Policy and compliance Q&A assistant for staff
- Customer-support copilot inside the banking app
- Risk and transaction report summaries
Healthcare & Life Sciences
- Clinical note and discharge summary drafting
- Patient FAQ assistant with safe guardrails
- Claims and prior-authorization processing
- Secure, de-identified data pipelines
Retail, Logistics & Manufacturing
- Shopping assistant and product search in your app
- Invoice, PO, and shipment document automation
- Inventory and demand insights in plain English
- Support-ticket triage and suggested replies
How To Start
Start small, prove value, then scale. No long commitments needed to get started.
AI Discovery Workshop
- Stakeholder workshops and process review
- Prioritized use-case shortlist with ROI
- Architecture and data-readiness report
AI Pilot / Proof Of Concept
- One working use case on your real data
- Accuracy, cost, and latency benchmarks
- Go / no-go plan for production
Dedicated AI Pod
- Lead engineer plus AI, cloud, and app developers
- Build, deploy, and operate in production
- Weekly demos and transparent reporting
Model-Agnostic. Cloud-Native.
We choose the right model and platform for your use case, budget, and compliance needs.
Common Questions
What clients usually ask before starting an AI project with us.
How quickly can we see a working AI solution?
Most pilots produce a working version on your own data within 2–4 weeks, including an evaluation of accuracy and running cost.
Will our data be used to train public models?
No. We use enterprise model endpoints such as AWS Bedrock or Azure OpenAI inside your cloud account, where prompts and data are not used for model training.
Do we need clean, structured data before starting?
Not necessarily. Many GenAI use cases work well with documents, emails, and tickets as they are today. The discovery phase tells you exactly what is needed.
Can you add AI to our existing mobile or web app?
Yes. We add features such as in-app assistants, smart search, and document capture to existing React Native, native iOS/Android, and web apps without a full rewrite.
Which regions do you work with?
We work remotely with clients worldwide and align working hours with US, UK, EU, Middle East, and APAC teams.
Have an AI idea? Let’s test it in a few weeks.
Tell us the process you want to improve. We’ll come back with a use-case assessment and a pilot plan, free of charge.