Steve Hind
Co-Founder and CEO at Lorikeet
Lorikeet uses AI to deliver higher quality, more scalable and cheaper customer support for complex businesses. Our powerful workflow engine goes beyond simple "help center summary" responses, and can hold conversations with your users, look up data, take actions in your systems and make decisions based on data and qualitative inputs.
If a customer asks "where is my order" we can retrieve a list of orders associated with the account, clarify the order in question if there's ambiguity, and then share the status or take actions like re-ordering if the order is delayed. The net result is a better experience for your customers that scales more easily as you grow and that is significantly cheaper than handling the same tickets with a human team. We work with high growth innovators in FinTech, HealthTech and related areas.
We're backed by Square Peg Capital, and angel investors including Claire Hughes Johnson (longtime Stripe COO) and executives from OpenAI, Stripe, Rippling and Nium.
If you're thinking about how AI can transform your customer support experience, email me directly at [email protected], or book some time directly here: https://www.getclockwise.com/c/steve-optech-ai/quick-meeting.
In their own words
From Lorikeet’s $100M Bet on AI: Steve Hind on Scaling Smart AI Support with Lorikeet · In The Blink Of AIIf you're using AI to create great outcomes for your customers, you're an AI company.
Career
- Now Co-Founder and CEO · Lorikeet
- Earlier · Startup Product lead · Watershed
- Earlier · Scale-up Product lead · Stripe
- Earlier Investment professional · Bridgewater Associates
- Earlier Consultant · BCG
Sources: skillsrobin.com
Key moments
Jump straight to the part of Replay Ep - Building AI Support So Good, You’ll Wonder: Is This Really AI? | Steve Hind, Lorikeet you want.
- 1:52 What makes Lorikeet different from other AI support tools
- 2:49 Why banks and healthcare companies need AI-driven customer support
- 9:00 What is RAG, and why does it matter for AI-powered customer service?
- 14:09 The biggest mistake AI chatbots make in customer support
- 16:26 What does "agentic reasoning" really mean?
- 19:12 The cost of running AI models and why RAG reduces compute power
- 27:46 AI tools Steve uses every day (and his take on Perplexity and Replit)
- 30:36 How to stand out when applying for an AI job
- 9:18 What people get wrong about AGI and AI scaling laws
Connections
Spot something wrong? Suggest a correction Updated 25 September 2026
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