Led by experts. Delivered at speed.
H-Prime is a new category of IT consulting. We combine senior executive leadership with AI-accelerated engineering teams to deliver enterprise-scale transformation outcomes - faster, leaner, and at materially lower cost than traditional consulting models.
Your developers are using copilots, code generators, and autonomous agents every day. But the AI has no idea what your company actually needs.
“The gap isn't in the AI. It's in what the AI knows about you.”
You can't orchestrate AI on a foundation that doesn't exist.
Many enterprises are trying to adopt AI without the foundational Cloud data layer, governance, or operational discipline to support it. The result is fragmented data, ungoverned models, and AI investments that don't compound.
Before AI can deliver enterprise value, you need the right data platform and governance backbone in place. A Databricks-powered Lakehouse with governance embedded from the start is not a nice-to-have - it is the prerequisite.
This isn't an incremental improvement.
It's the missing infrastructure layer for AI-native development.
AI models are only as useful as the context they receive. Today, that context is fragmented, inconsistent, and manually assembled - if it exists at all.
H-Prime AI exists to solve one problem: making sure every AI agent in your organization operates with the right context, every time.
We encode your global standards into a persistent, enforceable context layer.
We structure your team-level requirements into auto-loading PRPs.
We orchestrate what reaches the context window - and when.
We give you governance and visibility over every AI-assisted output.
We don't just advise on AI transformation.
We build the infrastructure that makes it reliable.
H-Prime leadership has driven AI and Cloud transformation at two of the world's most demanding enterprises. These aren't case studies - they're the systems we built.
We drove the end-to-end design, development, and delivery of Starbucks' DeepBrew Recommendation Platform - the AI engine behind personalized experiences for 30 million users, generating 6 billion product recommendations annually.
We built the next-generation AI/ ML Cloud platform from the ground up with enterprise-grade security and safety guardrails baked in from day one - not bolted on after launch.
We built the Insight Factory and served as GM's innovation lighthouse - creating the "Path to Production" framework from scratch that became the gold standard for shipping AI into production safely and at speed.
We authored and maintained Gold Standards of Engineering across Frontend, Backend, and Data Science - spanning Python, JavaScript, React, Angular, and Databricks - ensuring every team shipped code that met enterprise-grade quality, security, and stability bars.
Two complementary offerings that take enterprises from zero AI foundation to fully governed, context-aware AI operations.
How our offerings work together
Offering #1 (Node Zero) is a prerequisite and an optional add-on for Offering #2 (ECO). Enterprises that already have a mature AI ecosystem with governance fully baked in can proceed directly to ECO. Those who don't should start with Node Zero to build the foundation first - a minimum 180-day engagement subject to toolkit availability and internal compliance green signals. A strong foundation makes ECO exponentially more effective.
Offering #1
Before you can run AI at enterprise scale, you need the foundation. Node Zero establishes your Cloud AI/ ML layer using Databricks for the data and AI platform and Atlan for governance - the best combination to build a foundation that's AI-ready and governance-embedded from the get-go.
With over a decade of experience setting up foundational systems - operational workbooks, SOPs, SLAs, heartbeat monitoring, and production readiness frameworks - we don't just deploy technology. We build the operational muscle that makes it sustainable.
Enterprises that don't yet have their foundational Cloud AI layer set up. If your data lives in silos, your governance is manual, and your teams are building AI on shaky ground - Node Zero is where you start.
A production-grade AI foundation built for durability, not demos.
Stand up a production-grade Databricks Lakehouse with medallion architecture, Unity Catalog, and Delta Lake - the backbone your AI/ ML workloads need.
Deploy Atlan as your governance layer - automated data cataloging, lineage tracking, policy enforcement, and access controls baked in from the start, not bolted on later.
Battle-tested operational workbooks, standard operating procedures, escalation paths, and incident response playbooks - drawn from a decade-plus of standing up foundational systems.
Production-grade SLA definitions, heartbeat checks, alerting, and observability dashboards so your data and AI platform runs reliably from day one - not firefighting from day two.
Engagement Path
Timeline subject to toolkit availability and internal compliance approvals.
We assess your current cloud and data maturity, map stakeholder needs, and design a target-state architecture built on Databricks + Atlan - right-sized for your enterprise.
Stand up the Lakehouse, configure Unity Catalog, deploy Atlan for governance, and establish the operational backbone - runbooks, SOPs, SLAs, and heartbeat monitoring.
Train your teams, execute knowledge transfer, validate SLA compliance, and hand over a fully operational AI-ready foundation with governance embedded at every layer.
Don't build AI on quicksand. Let us stand up the Databricks + Atlan foundation that makes everything else - including ECO - exponentially more effective.
Start Your Foundation AssessmentLed by experienced transformation leaders, powered by AI-leveraging ninjas delivering 10X output with safety nets on

CTO & Co-Founder
Pritesh Soni is a founder and AI-augmented engineering transformation leader who blends deep hands-on execution with senior business judgment to deliver measurable enterprise outcomes. His work is rooted in a business-first philosophy: that software, data, and AI matter only insofar as they compound value for customers, operators, and decision-makers. Pritesh specializes in translating ambiguous business problems into clear operating models where human leadership is amplified by AI-accelerated analysis, engineering, and delivery.
Across his career, Pritesh has led multiple 0-to-1 and scale journeys, helping companies such as Skellam AI and Locus.sh build AI-ready platforms, mature engineering disciplines, and outcome-driven delivery systems. Previously, as a Strategic Thought Leader at EXL, he helped design and execute AI-led transformation programs - strengthening data engineering foundations, operationalizing machine learning, and enabling AI-driven revenue and productivity gains for global enterprises.
At H-Prime, Pritesh brings a builder-led, AI-augmented approach - combining leadership, ownership, and accountability with a relentless focus on clarity, user experience, and quantified impact. His leadership philosophy centers on humility, inclusiveness, continuous learning, and the belief that empowered people, equipped with AI leverage, create durable transformation.
Our ninjas are ECO-trained engineers and architects who use AI as a force multiplier - not a crutch. They deliver at 10X velocity while keeping enterprise guardrails, compliance, and quality standards firmly in place.
Deep expertise in foundational platforms like Databricks and Atlan, combined with SRE discipline for proper instrumentation, heartbeats, operational runbooks, and SLA management. Every ninja is adept across leading agentic tools - Claude, ChatGPT, Copilot, and autonomous coding agents - turning AI capability into governed enterprise outcomes.
Standing up enterprise-grade Databricks environments, medallion architectures, Unity Catalog, and the data foundation that powers AI/ ML workloads.
Deploying governance frameworks with automated cataloging, lineage tracking, policy enforcement, and access controls - baked in from the start.
Proper instrumentation, heartbeat monitoring, SLA tracking, operational runbooks, SOPs, and escalation paths - ensuring production systems run reliably.
Adept across modern agentic platforms - Claude, ChatGPT, Copilot, and autonomous coding agents - using AI as a force multiplier across every workflow.
Ready to transform your enterprise with AI? Let's start a conversation.