Engineering Lead for Agentic Infrastructure @databricks | Scout @greylockvc (angel investing in data/ML/cloud) | prev: @stanford @ucbrise
San Francisco, CA
Joined August 2013
- Tweets901
- Following785
- Followers641
- Likes30.9K
Ankit Mathur retweeted
Enterprise context is key to making knowledge agents perform well in the real world.
Existing data and knowledge agent benchmarks primarily focus on tabular data, whereas actual enterprise tasks often require leveraging business context present in multiple sources such as dashboards, notebooks, historical queries, documents, and metric views.
We partnered with @turingcom to create a new benchmark that reflects this real-world enterprise complexity. We observed that Genie (powered by Genie Ontology) significantly outperforms frontier agents:
• 1.6x accuracy
• 4x faster
• 50% fewer tokens
More details: databricks.com/blog/genie-ge…
Ankit Mathur retweeted
Count the commands between an empty directory and a running agent. That number is your developer experience.
A decade ago, I argued that any SDK or platform that wants adoption should respect the rule of three.
Ankit Mathur retweeted
A year ago, I ran @databricks totally differently from today. Getting stuff done at Databricks involved calling ppl, scheduling meetings, and lots of back and forth.
Today, I just wake up and use Genie, which works for me in the background. I often just use the phone app to queue up work in the background.
Three examples from just this week:
→ Org charts. How do we flatten the org? It literally found me the hotspots where many projects had gotten stuck. Turns out the data was already in the ontology graph.
→ New internal project everyone raves about (Keanu). Genie monitored the slack channel, got all the insights, correlated them with the source code, and gave me a dashboard of what I needed.
→ New culture survey. Used ontology to figure out from the org chart, work output, and survey scores, which leaders are AI pilled. Why certain scores (e.g. work-life balance) are so low.
These are things that used to take me hours and many meetings, often waiting for the data science team. This is possible because Genie has access to an Agentic Ontology, so it proactively does all the work in the background for me.
Learn more about our next-generation release of Genie:
databricks.com/blog/new-geni…
Ankit Mathur retweeted
forgot ex-@BellarmineBells (and our secret co-founder 👀 )
ex-@GoogleDeepMind gemini post-training. ex-@mercor.
now they're fixing ai agents in production, and the company has 2 followers: @Convergent_Dev
@OmkarSavant_ and @debnilsur turn production agent failures into evals, then fix them.
flagged oct 15th on @frontrunvc
Ankit Mathur retweeted
Day 0 launch of Claude Fable 5.2 on @databricks! You can just get the tokens from Unity Gateway on Databricks.
Ankit Mathur retweeted
Claude Fable 5.2 lands on Databricks on Day 0.
Built for coding, finance and science, it sets a new high on our OfficeQA Pro v2 benchmark.
Run long-running agents on governed data, with Unity Gateway controlling calls across 70+ models.
Ankit Mathur retweeted
Feels like a lot of Jevon’s paradox arguments are a bit sloppy.
Prices go up: “great for revenue”
Prices go down: “Jevon’s paradox, great for revenue”
Like, you should be honest about the sign of the partial derivative of revenue wrt prices
Ankit Mathur retweeted
Zero Day Launch of Kimi 3.1! This is an amazing open source model. It seems particularly good at coding! Try it on Databricks. Even better, connect your models to Unity Gateway and use Smart Routing to control your cost vs quality.
Ankit Mathur retweeted
We're launching Kimi K3.1 Pro on Databricks on Day 0!
It's the best oss model to date. Our team has already started using it for internal coding.
Excited to be a launch partner with Moonshot AI!
Releasing the model weights of Kimi K3.1 Pro: huggingface.co/moonshotai/Ki…
We'll keep advancing open intelligence.
Ankit Mathur retweeted
Cheap tokens can still mean an expensive coding task.
Hear @ankit_math of @databricks at AIE CODE.
Thank you to Databricks, a Platinum Sponsor.
November 10 to 12, San Francisco.
Apply: ai.engineer/code
ALT AI Engineer Code Summit announcement featuring Ankit Mathur of Databricks. Black, white and pale yellow artwork by Vincent Wendy, with November 10 to 12 in San Francisco and ai.engineer/code.
Ankit Mathur retweeted
AI bills are exploding everywhere.
Since joining Databricks, I've seen brilliant engineers across the industry (Distinguished Engineers, Berkeley/MIT/Stanford PhDs) spend months figuring out where to buy AI tokens.
Let me save you some time.
Choose Databricks AI Gateway:
- Fast open-source and proprietary models, available on Day 0.
- Smart Routing cut our internal coding costs by 35%.
- Easily track spending and set budgets across teams.
Spend less time managing AI tokens. Spend more time building.
Ankit Mathur retweeted
やっぱり Databricks の DB ブランチ、いいな、、
> ブランチの作成は数秒で完了し、数分もかかりません。データベースのサイズにも依存しません。
エージェントの実行ごとにブランチを1本。何十も並べても、費用は DB の複製ぶんではなく、ほぼ変更したぶんだけとのこと。
databricks.com/blog/lakebase…
Ankit Mathur retweeted
One of the tweaks we recently made in our internal software factory, Foundry, is giving the agents the ability to spin off new sessions by cloning the sandbox it’s running in. This lets agents run many investigations and implementations in parallel.
We’ve also exposed tools that allow sessions to discover other sessions and send messages back and forth, creating a community of agents learning from each other and sharing outcomes from performance benchmarks, etc.
Turns out agents LOVE cloning themselves and messaging each other to coordinate work! They seem to be good at referencing work done by other agents in the community and also send each other relevant tasks related to the area of code they were working on.
Ankit Mathur retweeted
We’d love to have Snowflake as a customer of our AI Gateway! my DM is open.
xitter.twitterapi.xyz/Yuchenj_UW/status/2115…
Ankit Mathur retweeted
“Since you're not doing this AI stuff”
🔥🔥🔥
I don't think we should fight. The two companies are complementary. Since you're not doing this AI stuff, I really think Snowflake should consider getting its AI tokens through Databricks. You can get both cheap OSS models as well as frontier (OAI/Ant/Gemini/Grok) models from our platform. It all goes through Unity Gateway which has Smart Routing, Budgets, and Access Control. You can even use Omnigent with any harness, including CoCo. Most of our customers used this to reduce token spend ~30% last few months while token count went up. Genie lets you then track, control, manage that spend, all your financials, marketing, etc. Quick POC?
Ankit Mathur retweeted
Ali and Sridhar (Snowflake CEO) are having their Kendrick vs. Drake moment on X.
To our friends at Snowflake: we'd love to onboard you to Unity Gateway and our AI products.
No hard feelings. But your latest DeepSeek model is 3 months old. We ship OSS models on Day 0.
Ankit Mathur retweeted
I don't think we should fight. The two companies are complementary. Since you're not doing this AI stuff, I really think Snowflake should consider getting its AI tokens through Databricks. You can get both cheap OSS models as well as frontier (OAI/Ant/Gemini/Grok) models from our platform. It all goes through Unity Gateway which has Smart Routing, Budgets, and Access Control. You can even use Omnigent with any harness, including CoCo. Most of our customers used this to reduce token spend ~30% last few months while token count went up. Genie lets you then track, control, manage that spend, all your financials, marketing, etc. Quick POC?