Kaara Technologies
To enable our customers to be the best in serving their customers by empowering our employees to be the best version of themselves.
At a Glance
- BFSI (Banking, Financial Services, Insurance)
- Healthcare
- Retail
- Manufacturing
AI Tools by Kaara Technologies
(1)kaara.code
Enterprise AI Code Generation Platform
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Latest News
Kaara Technologies Launches 'Kaara Code' to Transform Enterprise Software Delivery
Kaara Reports Growth to $7.1M Revenue with Bootstrapped Model
Kaara Appoints Former Microsoft Architect Sachin Agrawal as CTO
Kaara Expands AI Consulting Partnerships with AWS, Google, and Microsoft
Products & Services
AI-native builder platform that turns enterprise knowledge into context-aware, governed execution.
Intelligent document and data processing engine for unstructured sources.
AI-powered compliance and audit automation system.
Natural-language query engine enabling business users to query enterprise data.
Market Position
Differentiates by focusing on moving enterprises from AI pilots to 'production-grade' delivery at a lower cost using proprietary AI-native frameworks.
Leadership
Founders
Ashwini Suman
Founder and CEO of Kaara. Previously Major Account Manager at Canon India, Head of Projects and Marketing at SaaS Infolabs, and Founder of Ascendia Technology Solutions.
Sachin Agrawal
CTO of Kaara. Previously spent over 11 years at Microsoft as an Architect. Also worked at Mahindra Satyam as a Software Engineer.
Executive Team
Ashwini Suman
Founder & CEO
Founding member with extensive experience in technology sales and marketing.
Sachin Agrawal
Chief Technology Officer
Ex-Microsoft Architect specializing in AI and cloud solutions.
Board of Directors
Founding Story
Founded in 2012 by Ashwini Suman, Kaara began as a technology services company. It has since evolved into an AI-native consulting partner, bootstrapping its way to over $7 million in revenue by 2023. The company focuses on helping enterprises transition AI from pilot projects to full-scale production-grade solutions, emphasizing 'engineering discipline' in AI delivery.
Business Model
Revenue Model
Enterprise AI consulting and solution delivery services. Engagements structured as Discovery Sprints, Proof of Value (PoV), and Full Build phases.
Pricing Tiers
Initial phase for opportunity identification and strategy.
Rapid prototyping and validation of AI use cases.
End-to-end production-grade AI system delivery.
Target Markets
- BFSI (Banking, Financial Services, Insurance)
- Healthcare
- Retail
- Manufacturing
- AI-driven debt collections
- Intelligent compliance
- Supply chain optimization
- Personalized retail experiences
- Deloitte
- Microsoft
- Experian
- EY