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Srishti GenAI

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Enterprise AI Agents & RAG Development.

Srishti GenAI is a Bengaluru-based technology services firm specializing in enterprise-grade Generative AI and custom software development. Founded in 2025 by Ashok Bugude, an IIT Bombay alumnus with 13+ years of software engineering experience, we help enterprises move AI from pilots to production with secure, scalable, and measurable outcomes.

  • Min project size
    $1,000+
  • Hourly rate
    $50 - $99 / hr
  • Employees
    2 - 9
  • Year founded
    Founded 2025

Service Lines
AI Development
35%
Generative AI
30%
AI Agents
25%
AI Consulting
10%
Select Focus Area
AI Expertise
Natural Language Processing
50%
Machine Learning
30%
Chatbots & Conversational AI
20%
AI Agent Development Focus
AI Agent Frameworks
70%
AI Agent Platforms & Builders
20%
Voice AI Agents
10%
AI Agent Purpose Focus
Productivity AI Agents
40%
Sales & Lead Generation AI Agents
30%
Customer Service AI Agents
20%
Data Analysis AI Agents
10%
AI Consulting Focus
AI Deployment
50%
AI Strategy
30%
AI Maturation
20%
AI Platform Integration Focus
Google Workspace AI Integration
40%
Hubspot AI Integration
30%
Notion AI Integration
20%
Salesforce AI Integration
10%
AI Technologies & Models
Anthropic
30%
Open AI GPT-3
30%
AI21
20%
Cohere
20%
Generative AI Focus
AI Text Generation
90%
AI Image Generation
5%
AI Video Generation
5%
Industries
Information technology
40%
Medical
30%
Financial services
20%
Retail
10%
Clients
Small Business (<$10M)
70%
Midmarket ($10M - $1B)
25%
Enterprise (>$1B)
5%

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Our Story

Srishti GenAI was founded to make enterprise-grade AI accessible to businesses of all sizes. We bridge the gap between complex AI technology and practical business needs. From intelligent chatbots to advanced RAG systems, we build custom solutions that solve real problems. Our mission is to deliver AI that drives measurable outcomes. Our values: innovation with purpose, transparency, and commitment to results. We believe AI should empower teams, not replace them.

What Sets Us Apart

Custom AI Solutions

We don't offer one-size-fits-all AI products. Every solution is custom-built to match your specific business needs, from conversational chatbots to advanced RAG-powered knowledge systems.

End-to-End AI Implementation

From initial consultation to deployment and maintenance, we handle the entire AI implementation lifecycle. You get a dedicated team that ensures smooth integration with your existing workflows.

Transparent Pricing & Communication

No hidden fees or surprise costs. We provide clear project timelines, regular progress updates, and transparent pricing from day one. You always know where your project stands.

Quick Facts

1 year in business

Team Breakdown

AI Development Team (2)
AI Solutions Team (2)

Tools and Technology

AWS
Docker
GitHub
Kubernetes
Azure DevOps
Slack
Jira
Notion

Commonly Asked Questions

We collaborate with clients through a structured agile approach. At Srishti GenAI, we begin with a detailed discovery phase to understand your business goals and technical requirements. Our team maintains transparent communication through regular sprint reviews, weekly sync calls, and progress updates via Slack or Jira. We use collaborative tools like GitHub for code reviews, Figma for design iterations, and Notion for documentation. Our iterative development process ensures clients can provide feedback at every stage, and we adapt quickly to changing requirements while keeping timelines on track.

At Srishti GenAI, we measure success through both quantitative metrics and qualitative feedback. Our GenAI solutions are designed to deliver measurable business outcomes, whether that is improved customer engagement, reduced operational costs, or faster time-to-market. We track key performance indicators such as model accuracy, response time, API latency, and end-user satisfaction scores. For custom AI implementations, we define success criteria during the discovery phase and continuously monitor performance through dashboards and regular reporting. Our clients consistently report significant improvements in productivity and innovation after deploying our solutions, with many seeing ROI within the first few months of implementation.

Our onboarding process is designed to ensure a smooth and efficient transition from initial contact to active project execution. First, we conduct a comprehensive discovery call to understand your business objectives, technical landscape, and success criteria. Next, we prepare a detailed proposal outlining the project scope, timeline, deliverables, and pricing. Once approved, we assign a dedicated project manager and technical lead to your account. We then set up all necessary communication channels, grant access to collaborative tools, and conduct a kickoff meeting with all stakeholders. Throughout the onboarding, we provide clear documentation, establish communication protocols, and define milestones to keep the project on track from day one.

We follow an agile project management methodology tailored for AI and software development projects. Each project is broken down into sprints, typically lasting two weeks, with clear deliverables and milestones. Our project managers use Jira to track tasks, manage backlogs, and monitor sprint progress. We conduct daily stand-ups within our internal team, weekly progress reviews with clients, and bi-weekly sprint demos to showcase completed features. Risk management is integrated into every sprint, and we maintain a transparent issue tracker so clients can see real-time project status. This structured yet flexible approach ensures projects stay on schedule while allowing room for iterative improvements based on feedback.

Yes, compliance is a core priority at Srishti GenAI. We design all our solutions with data privacy and regulatory compliance in mind from the outset. Our development practices align with GDPR principles for data protection, and we implement appropriate technical and organizational measures to safeguard personal data. For healthcare-related projects, we follow HIPAA guidelines for handling protected health information. We use encrypted data transmission, secure cloud infrastructure on AWS and Azure, and implement access controls to ensure data confidentiality. We are committed to staying updated with evolving AI regulations and data protection laws, and we work closely with clients to ensure our solutions meet their specific compliance requirements across different jurisdictions.

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