Mimasa AI is an enterprise Agentic AI company based in Noida, India. We connect data intelligence, AI agents, governed workflows, and human decisions in one platform.
Our goal is simple: help organisations move from fragmented information to trusted action—without replacing the business systems they already depend on.
Data intelligence · AI agents · Governed workflows · Human oversight · Flexible deployment
Our Mission
To help organisations turn enterprise data into trusted decisions and governed action through AI agents, intelligent workflows, and human oversight.
We want to automate repetitive work while keeping people in control of the decisions that matter.
Our Vision
A future where people and AI agents work together across every organisation.
AI handles repetitive analysis, coordination, and execution. People focus on judgment, innovation, relationships, and research.
Mimasa AI is built by people working across enterprise technology, AI, data science, product engineering, and growth. We believe enterprise AI must be useful, governed, and ready for real work.
Founder & CEO
Tarun brings more than 19 years of experience building enterprise applications across manufacturing, banking and finance, healthcare, logistics, education, energy, and other complex sectors. He leads Mimasa AI’s mission to connect enterprise intelligence with governed action.
Chief Technology Officer
Siddharth leads platform architecture and engineering. His work focuses on scalable systems, AI infrastructure, reliability, and the technical foundations required for enterprise deployments.
Growth & Marketing Lead
Vibha leads brand and growth initiatives. She helps translate Mimasa AI’s enterprise capabilities into clear stories for customers, partners, and the wider market.
Data Scientist
Yeswanth works across data science, machine learning, and generative AI. He helps build practical intelligence that can understand business context and support real operational workflows.
Lead Developer
Akshay builds full-stack product capabilities and enterprise integrations. His focus is reliable engineering, clean implementation, and a consistent user experience across the platform.
Senior Developer
Nakul works on backend systems, performance, and platform architecture. He helps make enterprise applications faster, more resilient, and easier to scale.
Developer
Sarim develops product features across the application stack. He focuses on clear user journeys, dependable execution, and maintainable software.
Most organisations do not lack data. Useful information is simply spread across databases, documents, emails, applications, dashboards, and operational systems.
Even when teams find the answer, action often comes later. Files, email, meetings, and manual updates separate insight from execution.
Mimasa AI closes that gap with governed data intelligence and AI workflow automation around the systems teams already use.
Before
Disconnected data → Exports → Emails → Meetings → Manual updates
With Mimasa AI
Governed context → AI analysis → Workflow → Human approval → Traceable action
Mimasa AI grew from years of building enterprise applications across complex industries. The same pattern appeared repeatedly: organisations had valuable data and capable teams, but fragmented systems.
Analytics explained what happened. Fixed automation followed known steps. Enterprises needed a governed layer that could understand context, coordinate work, and involve people at the right moments.
Our engineering and delivery team is based in Noida, Uttar Pradesh, India. We focus on practical first deployments that solve a real workflow before broader expansion.
Mimasa AI connects approved data and tools, builds trusted context, and helps people and AI agents complete controlled workflows around existing systems.
Connect structured and unstructured information. Explore governed data and create analysis, dashboards, reports, and presentation-ready outputs.
Explore Mimasa AI Products →Build agents that analyse information, use approved tools, coordinate tasks, and prepare actions within defined permissions.
Explore AI Agents →Coordinate data, documents, APIs, and applications with decision points, approvals, exception paths, and human review.
Explore Agentic Automation →Bring people, projects, tasks, conversations, and AI agents into shared workspaces connected to their business context.
Explore Gosthi →Apply role-based access, approval checkpoints, execution records, and governed data access across sensitive work.
Explore Data Governance →The same governed context can support a question, dashboard, agent decision, approval, and workflow action.
Mimasa AI complements ERP, CRM, databases, document stores, and operational applications rather than replacing them.
Teams can require human review wherever risk, policy, or judgment demands it.
Organisations can select models and deployment options that fit performance, privacy, cost, and data-residency needs.
We begin with one clear workflow and expand proven agents, skills, and workflows after validation.
How We Make Product and Delivery Decisions
AI should improve a real process, decision, or customer outcome. A demonstration is not operational value.
Sensitive actions should follow clear permissions, review points, and accountability.
People should understand where information came from, what an agent did, and who approved the next step.
Enterprise data is fragmented, processes have exceptions, and core systems cannot always be replaced.
Organisations should retain meaningful choice across deployment, infrastructure, models, integrations, and controls.
A narrow workflow with clear value creates a stronger foundation than a broad programme without proof.
Regulated and data-sensitive organisations need control over where data runs, who can access it, how agents act, and how important steps are reviewed.
Mimasa AI supports private enterprise AI and sovereign AI needs by aligning infrastructure, data, models, and access with each customer environment. Final controls depend on the selected architecture and implementation.
We work where data quality, approvals, traceability, and reliability matter. Each organisation keeps its systems, policies, and expertise.
Focused Adoption, Practical Expansion
Choose a workflow with a clear owner, existing data, known friction, and a measurable outcome.
Map the approved data, documents, applications, people, and controls required by the workflow.
Define what AI can analyse, prepare, recommend, or execute. Add reviews and exception paths.
Review output quality, usability, security, and operating fit with the people responsible for the process.
Track the agreed outcome, then reuse proven agents, skills, and workflows in related processes.
Mimasa AI works with infrastructure and technology ecosystems so customers can deploy AI within environments their teams already operate. Public partnership details remain limited to current, documented relationships.
Explore Mimasa AI PartnershipsQuestions about our company, platform, governance, and deployment approach.
Build from One Real Workflow
Bring us a process slowed by fragmented data, manual coordination, or repeated analysis. We will help assess whether Mimasa AI is the right fit and define a focused path forward.
