We have raised $61M, but that’s not what excites me. Our original idea was fine tuning LLMs for enterprises. Although we topped some benchmarks, the business was not viable.

giga's engineering team is finally free. we've finally moved to a monorepo - too many @Codex and @Cursor in slack though.

AI agents at enterprise scale ⚡️ Designing the Giga brand. With the brilliant @varunvummadi @eshamanideep @jcarvajalpa

Thanks for tagging the team! Honestly, so well done 👏 Added you both of you to my super secret list of elite designers on X 🙂

🚀 Hello, Kimi K2 Thinking! The Open-Source Thinking Agent Model is here. 🔹 SOTA on HLE (44.9%) and BrowseComp (60.2%) 🔹 Executes up to 200 – 300 sequential tool calls without human interference 🔹 Excels in reasoning, agentic search, and coding 🔹 256K context window Built as a thinking agent, K2 Thinking marks our latest efforts in test-time scaling — scaling both thinking tokens and tool-calling turns. K2 Thinking is now live on kimi.com in chat mode, with full agentic mode coming soon. It is also accessible via API. 🔌 API is live: platform.moonshot.ai 🔗 Tech blog: moonshotai.github.io/Kimi-K2… 🔗 Weights & code: huggingface.co/moonshotai

Giga (@gigaml) is building the next generation of customer support — real-time AI agents that can understand emotion, resolve issues instantly, and scale across the world’s largest enterprises. The team recently raised $61M to power emotionally intelligent, human-quality conversations at enterprise speed and scale. In this interview with YC's @harjtaggar, co-founders @varunvummadi and @eshamanideep share how they’re reimagining enterprise support from the ground up, what it takes to build AI for high-compliance industries, and why emotionally intelligent agents are the future of customer experience. 02:25 – What Giga Does and Who It Serves 05:10 – Building Emotionally Intelligent AI Agents 08:15 – Real-Time Responses at Enterprise Scale 11:45 – Designing for Compliance and Security 15:00 – Human-Quality Conversations at Machine Speed 18:20 – Lessons from Early Customer Deployments 22:10 – Powering the Next Generation of Support 26:45 – What It Takes to Build for the Enterprise 30:15 – The Future of Customer Experience 33:40 – Advice for Founders Building in AI

P.S. $10k for any engineering referral we hire. Tag the best engineer you know

We are hiring. If any of the problems below excite you, apply at giga.ai/careers - How do we build an AI system which hallucinates less than 0.01% of the time? ChatGPT currently hallucinates 4-5% of the time (read more here) - How do we scale our infra to 100s of millions of calls a day? - How do we build a voice experience which is more pleasant than talking with another human? This involves optimizing latency down to 400ms (genius within a second)

And then we ended up in customer support – not because we were passionate about it, but because we just really wanted to change the world with AI. Customer support is one of the few places where you can make a lot of impact using AI right now. Our vision is building an enterprise operations platform where the next trillion dollar companies will be built. And customer support is just the start.

Call center farms are absolutely cooked

We have raised a $61M Series A to automate customer operations. The world’s leading companies like DoorDash trust Giga to supercharge customer experience with AI.

I've been very impressed with the execution and speed of the @gigaml in improving our support AI performance. Thanks Varun and the team for the partnership!

Giga is quietly growing faster than any company I've ever seen. Doordash chose them for customer support because only their AI agents can handle extremely complex edge cases. Giga agents can call both the customer and Dasher at the same time and listen to both to figure out what to do. It's like Her with less romance but giant ACV's.

I've heard real Giga calls in action and they're bringing superintelligence to customer support calls. Literally answering and getting people to the correct end outcome faster than any human could. (Giga beat all players available to win DoorDash, so this is a big day for them)

DoorDash has been an amazing partner in driving our product roadmap & voice experience in particular. Excited to finally announce our partnership - the case study contains some of the very complex real-world issues we solve (multi-party coordination at scale).

GigaML → Giga We’ve updated our domain to giga.ai with a new website to tell the right story around our customers, our product, and our team.

Just tried this model - way worse than Composer and GPT-5. Composer is actually decent

Wow… don’t do polls on X…

Albert is already working on some of the high impact problems within our company. Welcome

very interesting