Bhaskar Lamba
Founder & CEO
Leads the studio's delivery of production-grade AI automation for enterprise operations. Focused on systems that hold up in production, not just in pilot.
About Katalyst AI
A practical AI automation studio
Katalyst AI is an enterprise AI automation studio. We design, deploy, and operate production-grade systems across four practice areas — AI automation, custom software, AI consulting, and AI outreach & lead generation — engineered to deliver measurable business outcomes.
Book a CallThe team
Builders behind the build.
A crew of builders, operators, and engineers — close enough to the work to stay accountable, deep enough to ship serious systems.
Shae M
Partner, Strategy & Delivery
A decade of turning business chaos into mapped workflows. The reason our deployments actually move the metrics the call started with.
Dhairya Bisht
Lead Engineer
Turns an 8-hour manual job into a 3-minute one. Leads end-to-end delivery — architecture, cloud deployment, observability, and the production rollouts that operating teams actually run on every day.
Keshav Sharma
Automation Engineer
Turns brittle scripts into reliable, monitored systems. Owns the integrations layer — APIs, scrapers, schedulers — and the dashboards that prove it works.
Aaron Warner
Growth & Partnerships
A decade running the front door — outbound, partner conversations, and the first call with every operator who walks in. Sees a workflow before he sees a logo.
Jatin M. Singh
Automation Engineer
Sits between the model and the workflow. Designs the prompts, evals, and guardrails that make AI behave like a system you can actually run in production.
Hands-on delivery
Practical systems for real workflows.
Built around workflow mapping, automation workers, clean outputs, cloud deployment, and daily users.
Map the workflow
Steps, users, data, rules, review points, and outputs are mapped before build.
Ship an MVP
A free-cost MVP proves the concept on real data before scope expands or budgets commit.
Build the system
Automation workers, dashboards, queues, OCR, exports, and reporting are built together.
Ship for daily use
Teams get a deployed workflow with visibility, handoff, and practical support.
Capabilities
Practical AI automation stack.
Tools for AI automation, Playwright browser automation, Python workers, OCR, dashboards, queue workers, cloud deployment, and exports.
AI automationJavaScript web appsPython automationPlaywright browser workersOCR integrationsCloud deployment on GCP and VercelStreamlit dashboardsQueue workersCSV, JSON, Excel exportsAPI and database workflows