AI Strategy & Roadmaps
Use cases scored against feasibility and risk, returned as a sequenced roadmap with budgets, architecture and a build-vs-buy call on every line.
Enterprise AI Implementation
We build secure AI platforms and the workflows around them for regulated enterprises. We take them from pilot to production.
Core offering
Use cases scored against feasibility and risk, returned as a sequenced roadmap with budgets, architecture and a build-vs-buy call on every line.
Models, vector stores and gateways running entirely inside your VPC or on-premise estate. No data crosses the boundary.
Intelligence wired into SAP, ServiceNow, Control-M, core banking and the twenty-year-old system nobody wants to touch.
Multi-step agents owning a real business process, with human checkpoints, deterministic fallbacks and a full decision trace.
Contracts, filings and decades of archive turned into a permission-aware knowledge layer that cites its sources every time.
Evaluation suites, drift detection, red-teaming and cost telemetry: the control plane that lets a risk committee keep saying yes.
What we believe
Selected work
Backlog of pending documents cut from 1,500 to 500 in months, work that would otherwise have taken years.
Weekly manual reporting replaced by an agent wired into Control-M, producing deeper insight than the report it retired.
In their words
Mani was one of our first teammates at Forward Edge-AI. He is first class. Deep technology knowledge, yet constantly learning. Contributes to strategic discussions and is always willing to mentor others. Completes projects on time and is highly reliable and dedicated. Mani is also a kind and wonderful human being. Love working with him, as do his teammates.
Working across a 10-to-12-hour time difference could have been a real obstacle. It never was. Mani made distributed collaboration feel effortless: he communicated proactively and kept work moving while I slept, so I’d wake up to real progress. I could hand him a complex technical problem, step away, and trust it would come back solved well and on time, every time. I recommend Mani Shanker without reservation.
Our technology is not the easiest to approach and operationalize, and when the time came to hand over the solution to Mani, he was able to figure it out in no time. To date, he has been one of the best developers we have worked with in the history of our company. Mani shows up to meetings with ideas, inspiration and true problem solving.
The team
Founder
A decade hands-on in AI. He was teaching machine learning and deep learning years before the current wave.
Co-founder
Over a decade of experience building highly scalable systems at BlueJeans and CustomFit.AI. Works closely with Mani on delivery and client engagement across enterprise work.
QA Automation Architect & Developer
Over ten years building automation frameworks and scalable cloud infrastructure across financial services, telecommunications and technology. At Dell he designed and deployed an enterprise-grade automation framework adopted by multiple core applications.
Advisor
Deep expertise in enterprise architecture, AI security and data privacy, with experience at Securiti.ai. He advises Try New AI on designing secure, scalable and enterprise-ready AI systems, with a strong focus on governance and responsible AI adoption.
AI & Technology Leader
Head of AI at CentralAgent AI, with technology leadership roles across multiple startups and previously AVP at Wells Fargo. His background spans generative AI research at NTU Singapore, enterprise AI architecture and open-source development, including contributions to LangChain.
Technology we build on