01 // READY
Assess readiness, engineer the data, lay the foundations.
Explore READYSERVICES
Come to us for an AI transformation and we will walk you down the production path: Ready, Ship, Run. Come to us to build a product or platform and a 150+ person engineering team will design, build, and operate it end to end. Same team, same delivery discipline, different doors.
150+
Engineers
10+
Years shipping
50+
Clients worldwide
40+
Technologies
TRACK 01 // AI TRANSFORMATION
A lifecycle, not a tech menu. Every engagement starts with an honest readiness answer and ends with a system that is operated, evaluated, and improving.
01 // READY
Assess readiness, engineer the data, lay the foundations.
Explore READY02 // SHIP
Build and integrate agents into the systems you already run.
03 // RUN
Operate what shipped: monitoring, evals, cost control, improvement.
Explore RUNEvery Track 01 engagement runs on the CWR90 method
See the 90-day schedule →Crawl · Days 01-30
We map your operations and mark where AI belongs, and where it doesn't. You get the requirement, the tool choices, and the plan in writing.
Walk · Days 31-60
We build the one workflow that matters. Low stakes, real data, your systems, your people watching it work.
Run · Days 61-90
It goes to production and we run it with you. Monitoring, guardrails, and a number that moves.
TRACK 02 // END-TO-END ENGINEERING
The full-stack catalog that has carried HyScaler for ten years. Each practice stands on its own and plugs into the AI transformation path when the problem calls for it.
Web, mobile, and enterprise applications built to run in production.
From product strategy and design to build, test, and modernization.
Pipelines, warehousing, governance, and data platforms that feed AI.
CI/CD, cloud infrastructure, and the operations layer behind AgentOps.
Edge telemetry, wearables, and device fleets feeding real-time systems.
Smart contracts, audit trails, and verifiable automation.
Enterprise modernization, platforms, and AI transformation consulting.
Native and cross-platform apps with modernization paths.
Service experience, CRM, and the human side of automation.
Managed IT with certified experts across the major platforms.
AWS migration and cloud foundations, including for AI workloads.
The applied AI practice behind Track 01: agents, LLM integration, RAG.
Certified experts across Microsoft · AWS · Google · Oracle · ServiceNow · Salesforce
PROOF
Three engagements across both doors, all in production. The facts match the case studies.
Industrial · 2025
Document retrieval went from an average of 10 minutes to under 30 seconds.
Read the case studyFintech · 2025
200+ scattered loan programs, consolidated onto one platform.
Read the case studyHealthcare · 2023
Built end to end, live across 200+ care sites in 12 states.
Read the case studyFAQ // QUESTIONS
Direct answers about the two tracks, pricing, and how delivery works.
Describe the problem, not the technology. If you want AI working in your operations, that is Track 01: it starts with an honest readiness answer and runs on the 90-day CWR90 method. If you need a product, platform, or system built or modernized, that is Track 02. If you are not sure, say so on the call; sorting that out is what the first thirty minutes are for.
Ninety days in three phases: Crawl (days 01-30: scoping, data readiness, cloud and governance foundations), Walk (days 31-60: the agent built and integrated into systems like your CRM and ERP), and Run (days 61-90: live in production with monitoring, evals, and cost control, and every day after if we operate it with you). The READY, SHIP, and RUN service groups map onto those phases.
Predictive analytics and forecasting, document intelligence, conversational AI and virtual assistants, custom LLM integration, end-to-end MLOps, enterprise recommendation systems, generative AI for content and media, and RAG solutions. Each is a practice page under Artificial Intelligence with its own scope and process.
Then it goes through Track 02, which is not a side business. Web, mobile, data, cloud, devices, and blockchain work has carried HyScaler for ten years, and those practices stand entirely on their own. AI only enters the picture if the problem calls for it, and we will say so if it does not.
Yours. Deployments run inside your own AWS, GCP, or Azure account; AWS is where our current production work runs, and the rest are supported. Certified experts cover Microsoft, AWS, Google, Oracle, ServiceNow, and Salesforce, and we are stack-agnostic beyond that: we integrate with the systems you have, not systems we sell.
Against a number you choose before we build: cost per case, processing time, error rate, cycle time, or queue depth. It gets baselined in week one, written into the plan, and tracked in production. We do not quote blanket percentages or multipliers, because honest numbers come from your data, not our marketing.
Fixed price, quoted at the scoping call once we have seen the use case and the systems involved. Delivery runs from Bhubaneswar with a Santa Clara presence, which is why the number does not look like a strategy firm's.
You do. Code, models, prompts, evals, and documentation are delivered into your cloud and your repositories. If we ever part ways, everything keeps running without us.
Written success criteria you sign before we build, weekly demos against real data, evals written before any agent, and testing that gates every release. The process behind it is ISO 9001:2015 certified and appraised at CMMI Level 5, with ISO/IEC 27001:2022 covering information security.