Founded 2024 · Bangalore, India

AI Built by
Practitioners,
for Practitioners

AcesMind was founded by someone who spent years inside large enterprises shipping AI — and got frustrated that the tools available were either too generic or too complex to actually deploy. We built the alternative.

Our Mission

Make AI Actually
Work for Business

Most AI projects fail — not because the technology doesn't work, but because it's not built around real workflows. We exist to change that. AcesMind builds AI that teams adopt from day one because it solves problems they actually have.

Our founder spent 5+ years inside Adobe and Dell shipping production AI — a 40% improvement in resolution time here, a 2-day-to-5-minute workflow transformation there. AcesMind brings that hard-won operational experience to every client engagement.

Mission
Democratise access to production-grade Agentic AI — making it as accessible for a 50-person team as for an enterprise of 50,000.
Vision
A world where every organisation has an AI layer that learns, adapts, and improves their operations every single day — without needing an internal AI team to maintain it.
How We Work

Our Operating Principles

The values that guide every engagement, every line of code, every deployment.

Outcomes over features
We measure success in business metrics — hours saved, costs reduced, revenue unlocked — not in feature counts or AI benchmarks.
Adopt-first design
AI that teams don't use doesn't count. We design for adoption from day one — with your workflows, your vocabulary, your edge cases.
Responsible by default
Guardrails, audit trails, human-in-the-loop escalation, and responsible AI evaluation — built into every system, not added as an afterthought.
Ship, then improve
We deploy working systems in weeks, not months — and continuously iterate based on real-world usage and feedback loops.
Full transparency
No AI black boxes. Every recommendation comes with reasoning, every output has a source, every decision is auditable.
Long-term partnership
AI systems need maintenance, monitoring, and evolution. We stay engaged after launch — acting as your ongoing AI partner, not a one-off vendor.
The Team

Built by Someone Who's
Shipped AI at Scale

Damini Rastogi
Founder & AI Solutions Architect
AI / ML PM LLM / RAG 0→1 Builder Kellogg MBA

Damini is a Product Manager and AI Solutions Architect with 5+ years building internal platforms, backend systems, and AI-driven solutions at Adobe Systems and Dell Technologies. She specialises in workflow automation and Generative AI integration — from RAG-based troubleshooting tools that cut resolution time by ~40%, to Power Automate workflows that reduced environment provisioning from 2–3 days to under 5 minutes.

She's not a theorist. She's shipped AI in production at Adobe for 1,000+ internal users, defined responsible AI guardrails at scale, and built tools that teams actually adopted — not just tolerated. AcesMind is the vehicle for bringing that experience to more companies.

Educated at Tata Institute of Social Sciences (Master in Entrepreneurship) and MIET (B.Tech, IT), with a PG Certificate in Product Management from Kellogg School of Management.

Career Highlights
Apr 2026 – Present
Founder & AI Solutions Architect
AcesMind, Bangalore
Building custom Agentic AI, chatbots, social media AI, and workflow automation solutions for enterprises globally.
Mar 2024 – Mar 2026
Product Manager · Generative AI
Adobe Systems, Bangalore
Built LLM + RAG troubleshooting tool (~40% faster resolution), designed Power Automate workflow cutting provisioning SLA from 2–3 days to <5 minutes, defined responsible AI guardrails.
Oct 2022 – Feb 2024
Product Manager
Dell Technologies, Bangalore
Owned backend configuration system for Dell's web portals, improved sprint velocity ~60%, reduced production defects ~50%.
Sep 2021 – Sep 2022
Associate Product Manager
Bussr Technology, Remote
0→1 product development for SaaS mobility platform — roadmap to delivery.
May 2019 – Sep 2021
Business Analyst
HCL Technologies, Bangalore
Led requirements discovery for government e-learning platform; drove product decisions with Google Analytics.

Want to Know If We're
The Right Fit?

Book a 30-minute call. Damini will personally review your use case and give you an honest assessment — with no obligation.