Forward Deployed Engineer
Embeds with your team to configure agents, wire integrations and tune behaviour against real evaluation sets.
OUR TEAM
Business partners first,
Business partners first,
technology vendors second
Enterprise AI fails for organisational reasons far more often than technical ones. That is why our leadership comes out of operations, consulting and product rather than research alone — we understand your business before we write a line of code.
FOUNDER
Bibhudatta “Dash”
Founder & Chief Executive Officer
A product innovator and generative-AI entrepreneur with over 30 years in digital transformation and product development.
Founder of two AI ventures: Infinite Possibilities (2013), which builds AI platforms for enterprises and software vendors, and Agentic Private Markets (2025), a product company developing AI agents for private market participants.
Previously VP at Inmar Technologies, where he launched DeductionsLink, an accounts-receivable software platform. Before that, nine years at McKinsey & Company as an Associate Partner, driving operational improvement through end-to-end process reengineering, and nine years at Microsoft in Quality, IT and Finance leadership roles.
A published AI thought leader whose work has appeared in Harvard Business Review. MBA in Operations from IIM Mumbai (1998); Mechanical Engineering from NIT Rourkela (1994).
THE TEAM
The delivery pod
30+ engineers across AI, web development, UI/UX, product, DevOps and QA, with 4–6 hours of daily overlap with US hours. These are the seats on a typical engagement.
Implementation Consultant
Translates investment and operating workflows into agent designs, then drives adoption with the business.
AI Lab Engineer
Builds and benchmarks the retrieval pipelines and evaluation harnesses behind our 99% document accuracy.
Product Manager
Owns the roadmap across the platform and client builds, and holds the line on scope and sequencing.
UX Designer
Turns complex agent behaviour into interfaces people trust, and maintains the design system across deployments.
Quality Assurance
Regression, prompt and output testing across releases, including the evaluation banks used to sign off agents.
Full-Stack Engineer
Builds the application layer around the agents — portals, workflows, dashboards and client-facing surfaces.
DevOps Engineer
Runs deployment across Azure, AWS and GCP, with autoscaling, observability and tenancy isolation.
Named team members are introduced during engagement scoping.