Reprogram each of the world’s largest companies using AI, reaching every person on Earth.
San Francisco, CA
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- Following 2
- Followers 6,733
- Likes 307
Everyone is trying to build a support agent.
Now you can build one in your CLI that resolves 90% of your support tickets.
Today we're launching the Giga CLI.
pip install giga-sdk
Build, test, deploy, and roll back your AI agents like production software.
This is the workflow our customers use to operate AI agents resolving 100,000+ support tickets every day.
→ CI-gated deployments
→ GitHub-powered knowledge base syncs
→ Bulk conversation analysis
→ Integrating Coding Agents directly into Giga
Available now on PyPI.
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Interruptions aren’t a barrier anymore: giga.ai/news/scheduled-callb…
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Introducing Scout in Slack.
Every dashboard eventually leads to a Slack thread.
Whether its containment dropping, CSAT falling, or escalations spiking, there's always a thread where your team asks:
"Can someone look into this?"
That's the moment the real work starts.
Scout for Slack investigates the metric:
➡️Reads the conversations
➡️Finds the pattern
➡️Identifies the workflow
➡️Recommends the fix
➡️Validates it before deployment
Dashboards tell you what changed.
Scout tells you why.
Find out more in the comments⬇️
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Read more: giga.ai/news/scout-in-slack
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Everyone is trying to build a support agent.
Now you can build one in your CLI that resolves 90% of your support tickets.
Today we're launching the Giga CLI.
pip install giga-sdk
Build, test, deploy, and roll back your AI agents like production software.
This is the workflow our customers use to operate AI agents resolving 100,000+ support tickets every day.
→ CI-gated deployments
→ GitHub-powered knowledge base syncs
→ Bulk conversation analysis
→ Integrating Coding Agents directly into Giga
Available now on PyPI.
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213,065
Giga retweeted
Growth has traditionally meant hiring more people, adding more software, or launching more campaigns.
GigaML's Scout takes a different approach by focusing on the conversion point that matters most to your business. It keeps running experiments, learning from results, and compounding thousands of small improvements into meaningful business outcomes!
Introducing Scout.
Tell it the KPI you care about, like funded deposits, and it builds the agents, learns from every conversation, tests each change, and keeps improving that number on its own.
You set the goal. Scout gets you there.
Paid partnership (ad)
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Giga retweeted
The future is heading here: agents configuring agents. Expertise, even of this meta kind, is becoming accessible through AI.
Introducing Scout.
Tell it the KPI you care about, like funded deposits, and it builds the agents, learns from every conversation, tests each change, and keeps improving that number on its own.
You set the goal. Scout gets you there.
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Giga retweeted
Autoresearch is cool until you start climbing the wrong hills. Every business is different, and the hills you climb are unique. Giga’s KPIs lets you climb a hill which matters to your business.
Read more at giga.ai/scout
Introducing Scout.
Tell it the KPI you care about, like funded deposits, and it builds the agents, learns from every conversation, tests each change, and keeps improving that number on its own.
You set the goal. Scout gets you there.
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Honored to join the list!
❗New Harmonic Hot 25❗
@resolveai joins @Lovable as the only two startups to top the Harmonic Hot 25 twice!
This comes after a $40M April extension of their Series A, this time at a $1.5B valuation. Up 50% form the February round.
Thousands of investors use Harmonic every day. These are the startups they’re watching most closely as we approach Q3.
harmonic.ai/hot-25-startup/q…
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Giga retweeted
lots of great startup lessons from @varunvummadi leading Giga. quickly becoming a generational company that is taking down some formidable competitors. Great having him at Startup School in India earlier this year!
Varun Vummadi (@varunvummadi) is the co-founder of @GigaAI, which builds AI agents for customer support for some of the biggest companies in the world, including DoorDash, one of the largest crypto exchanges in the US, and a top-three global telecom provider.
At Startup School India, Varun sat down with YC's @agupta to talk about why he turned down a high-paying quant job to start a company, the multiple pivots it took to find the right problem, and how their small team of eight beat a 400-person competitor to land a contract with DoorDash.
01:33 — Early Days & Origin Story
03:37 — The YC Interview Disaster
06:28 — Pivoting Away From EdTech
07:25 — Finding the Real Idea
08:39 — Beating a Well-Funded Competitor
10:00 — Winning DoorDash With 8 People
11:09 — What GigaML Looks Like Now
12:40 — Advice for College Students
15:51 — Why Charge Early?
17:33 — The Next Big Bet
18:43 — Running the Company on AI
20:19 — How They Hire Engineers
22:04 — Product Over Sales
23:37 — Burn the Boats
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Giga retweeted
Varun Vummadi (@varunvummadi) is the co-founder of @GigaAI, which builds AI agents for customer support for some of the biggest companies in the world, including DoorDash, one of the largest crypto exchanges in the US, and a top-three global telecom provider.
At Startup School India, Varun sat down with YC's @agupta to talk about why he turned down a high-paying quant job to start a company, the multiple pivots it took to find the right problem, and how their small team of eight beat a 400-person competitor to land a contract with DoorDash.
01:33 — Early Days & Origin Story
03:37 — The YC Interview Disaster
06:28 — Pivoting Away From EdTech
07:25 — Finding the Real Idea
08:39 — Beating a Well-Funded Competitor
10:00 — Winning DoorDash With 8 People
11:09 — What GigaML Looks Like Now
12:40 — Advice for College Students
15:51 — Why Charge Early?
17:33 — The Next Big Bet
18:43 — Running the Company on AI
20:19 — How They Hire Engineers
22:04 — Product Over Sales
23:37 — Burn the Boats
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Learn more at giga.ai/hallucinations
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Giga retweeted
“Most people fine-tune models for two reasons: cost and speed.”
@varunvummadi CEO of @GigaAI:
“Fine-tuning reduces cost, increases speed, and improves throughput.”
“Some industries like healthcare and finance also prefer it because they don’t want to rely on closed-source models.”
“But when we looked at the data, two use cases dominated: support and coding.”
“So we decided to focus on support and double down there.”
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Giga retweeted
🧵 Understanding this concept deeply is fundamental to what makes @GigaAI so special. It's one of the biggest reasons I joined (beyond getting the chance to work with @eshamanideep and @varunvummadi).
The “forward deployed” concept will cause harm to many startups that go down this path. When you are building the product, park yourself at customers’ office. But, the goal should be to build a great product that does not require you to forward deploy a person for the customer to be successful. If you solve problems with people, you will default to throwing bodies at problems and will build an inferior product. Your goal should be the opposite.
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