Esha
@eshamanideep
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creating “feel the agi” moment for support agents @gigaml
San Francisco, USA
Joined February 2018
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.
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Come see @eshamanideep (our CTO) talk about @GigaAI at @ycombinator HQ on December 10th! I'll be there as well. We're hiring the most ambitious engineers across the stack to build the future of AI support agents for the largest B2C companies in the world. Link below
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I've known @pshishodiaa for quite a while now. And spending < $1000 to train a speech model from **scratch** is the exact thing I would expect him to do. Congrats @KalpaLabsAI
Kalpa Labs (@KalpaLabsAI) is training one generalist model for all speech tasks. Steer it like an LLM, give long system prompts & make use of native contextual awareness. Congrats on the launch, @pshishodiaa and @jhagauti! https://t.co/V0AbssT7CN
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AI agents at enterprise scale ⚡️ Designing the Giga brand. With the brilliant @varunvummadi @eshamanideep @jcarvajalpa
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@eshamanideep @jcarvajalpa @vitorviesi Thanks for tagging the team! Honestly, so well done 👏 Added you both of you to my super secret list of elite designers on X 🙂
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🚀 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
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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
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P.S. $10k for any engineering referral we hire. Tag the best engineer you know
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We are hiring. If any of the problems below excite you, apply at https://t.co/PanC7lteky - 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
giga.ai
Enterprises choose Giga for AI agents that manage complex workflows, deploy rapidly, and deliver human-like customer experiences at scale.
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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
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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.
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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.
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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!
Excited to share our partnership with DoorDash. Together we went from kickoff to real impact — in weeks, not quarters. Highlights: - Time to value: weeks, not quarters - Quality at scale: 90%+ DWR in production - Built for scale: 10B+ lifetime orders, 500K+ merchants, 8M+
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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
Excited to share our partnership with DoorDash. Together we went from kickoff to real impact — in weeks, not quarters. Highlights: - Time to value: weeks, not quarters - Quality at scale: 90%+ DWR in production - Built for scale: 10B+ lifetime orders, 500K+ merchants, 8M+
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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)
Excited to share our partnership with DoorDash. Together we went from kickoff to real impact — in weeks, not quarters. Highlights: - Time to value: weeks, not quarters - Quality at scale: 90%+ DWR in production - Built for scale: 10B+ lifetime orders, 500K+ merchants, 8M+
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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).
Excited to share our partnership with DoorDash. Together we went from kickoff to real impact — in weeks, not quarters. Highlights: - Time to value: weeks, not quarters - Quality at scale: 90%+ DWR in production - Built for scale: 10B+ lifetime orders, 500K+ merchants, 8M+
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GigaML → Giga We’ve updated our domain to https://t.co/GzQo3ohNA7 with a new website to tell the right story around our customers, our product, and our team.
giga.ai
Enterprises choose Giga for AI agents that manage complex workflows, deploy rapidly, and deliver human-like customer experiences at scale.
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Just tried this model - way worse than Composer and GPT-5. Composer is actually decent
Today we’re releasing SWE-1.5, our fast agent model. It achieves near-SOTA coding performance while setting a new standard for speed. Now available in @windsurf.
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Wow… don’t do polls on X…
Which is better ?
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