How long does a typical engagement take?

Engagements run in three phases: a fixed 2-week architecture and feasibility audit, a 30-day working pilot in an isolated sandbox, and a production rollout with SLAs — each phase is scoped and priced before the next begins.

Who owns the IP built during the engagement?

The client owns all code, models, and infrastructure delivered — nothing is licensed back or retained.

How is data security handled?

Deployments are VPC-isolated or on-prem by default, with zero external data leakage, tenant-isolated retrieval pipelines, and audit trails on every agent action.

ABOUT

Rajan Vasudevan

AI-tect (AI Architect) · Fractional CTO · Founder, RV Technology Consulting

35+ Years in Software Architecture · Three-Time Founder

Rajan Vasudevan is an AI architect — an AI-tect — and fractional CTO with more than 35 years of experience designing software systems. A three-time founder, he helps companies put AI into production on architecture that holds up: controlled costs, trustworthy data and decisions that can be explained afterward.

His work spans maritime and logistics, financial services and enterprise software, with a focus on systems where a wrong answer is expensive. He has built software that operates in safety- and compliance-regulated environments and passed independent certification, and real-time risk engines that act on live data. Through RV Technology Consulting he leads research into software that makes safe decisions from data it cannot fully trust; that work is patent pending.

35+

Years in software architecture

Companies founded

AI-first

Architecture for every engagement

Fractional CTO

Senior technical and AI leadership for companies that need it before they need a full-time executive. Each engagement starts with a discovery call, and scope follows from what that call finds.

AI strategy to production

Choose the use cases that pay back, then design, build and run them with cost, data and model controls in place.

Architecture

Find where the current system will fail as usage, data or the team grows, and set the order to fix it.

Modernization

Replace legacy systems without stopping the business that depends on them.

Trust and compliance

Audit trails, explainable decisions and certification evidence for regulated industries.

Team and vendors

First engineering hires, contractor review and technical due diligence for investors.

How it works

STEP 01

Discovery call

Your goals, your current systems and where AI fits.

STEP 02

Scope

A written set of outcomes and a time commitment matched to them.

STEP 03

Engagement

Part-time technical leadership, reviewed against those outcomes.

Book a discovery call

Our mission

We give companies senior AI and technical leadership, and the engineering to go with it: architecture that holds up under growth, modernization that does not stop the business, and AI in production with its costs and risks under control.

Our vision

Software that makes safe decisions from imperfect data, and records why.

The Harness Framework Capabilities