Sazabi is pitching an observability tool that starts from logs as the single source of truth, then uses AI agents to spot anomalies, investigate root causes, and even open pull requests to fix issues in production code written by other AI agents.
We raised $8m to build self-healing software.
In 2026, software moves fast.
But monitoring and observability are still manual and slow.
@sazabi is a next-generation observability platform for fast-moving engineering teams.
Not another AI SRE.
Not another LLM observability tool.
A new, general solution to observability that works for any workload (including agents) and leverages AI for maximum speed and automation.
Time to suit up.
The startup reports onboarding about 50 teams during a two-week closed alpha window, with the system running background investigations and opening pull requests against customer repositories.
The $8 million seed round was led by J2 Ventures, Village Global, and Y Combinator, with participation from more than 60 angels tied to companies such as Vercel, Cursor, LangChain, OpenAI, and Anthropic.
Positive users praised Sazabi's $8M raise for its AI observability platform as an epic game-changer with real use cases, while some dismissed the product as slop or grifting.
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Jarvis-core is the new most powerful launch video meme
Nobody saw this gap until the AI-coding-agent wave hit hard:
Cursor, Claude Code, and Codex fundamentally changed how software gets written. Nobody rebuilt monitoring for the teams actually using them.
Sazabi just closed $8M to fill that hole. Their platform treats logs as ground truth, derives metrics and traces via AI, deploys agents that auto-detect and fix production issues before humans even know there is one.
It is what happens when the same team running Claude Code gets real-time visibility into what automated changes shipped or broke.
AlignedNews covers exactly this kind of structural bet — which tools are rebuilding infrastructure for the agent-driven stack. This is one of them.
@sazabi #Observability #AIObservability
We raised $8m to build self-healing software.
In 2026, software moves fast.
But monitoring and observability are still manual and slow.
@sazabi is a next-generation observability platform for fast-moving engineering teams.
Not another AI SRE.
Not another LLM observability tool.
A new, general solution to observability that works for any workload (including agents) and leverages AI for maximum speed and automation.
Time to suit up.
i wanted to hate this. and to be fair i didn't watch long enough to see the actual product.
but video is fantastic.
Jarvis-core is the new most powerful launch video meme
focusing on a single user story in your marketing can be challenging because you feel like that one story might not resonate with all of your target customers
but when done well (like this), it’s emotionally more powerful than the introductory videos explaining the product
We raised $8m to build self-healing software.
In 2026, software moves fast.
But monitoring and observability are still manual and slow.
@sazabi is a next-generation observability platform for fast-moving engineering teams.
Not another AI SRE.
Not another LLM observability tool.
A new, general solution to observability that works for any workload (including agents) and leverages AI for maximum speed and automation.
Time to suit up.
@sazabi Get started: https://www.sazabi.com/
Thank you: @ycombinator @garrytan @aaron_epstein @charliewarren @yoheinakajima @alex_holovach @AlexReibman @matt_slotnick @adamsilverman @_JonWang @jefftangx @JNeedem @SumeetMa @rweiss57 @jh_naylor @skeptrune @NDPMVC @aurielws @mattyp @heymikasagi @jakem @rabanspiegel @jqdsouza @carli_stein @biilmann @rexsalisbury @mathemagic1an @kobyjconrad
Thank you: @joyco_studio @permanent @LuceroIsTaken @fabroos @dmowl_ @__JOYBOY___ @justkahdri @matiasperz_ @DavidBielenberg @niclasernst @zypsy @avimakesrobots @jasonmeinzer @FlyaKiet @namanambavi @nandaguntupalli @branmcconnell @tmsch0 @dalinstone @liamail @mhirrrrr @bilalfarooqui @alexpareto @saas7w @abhiaiyer @Rachel_S_Wong @gustrigos @nickmolnar @brunogrbavacc @keeganmccallum3 @JukicVedran @johnyeo_ @evandudla @alexisaftalion @ivanburazin @bwarrn @charliewarren @gustrigos @inesboutem @jackzum @JulsCaton @michaelmoore_sf
Thank you: @hunterwalk @MerrillLutsky @pk_iv @abhiaiyer @samdblond @calcsam @smthomas3 @ivanburazin @RLanceMartin @jasonfreedman @JasonGrohowski @kazsatamai @ryancwc_ @arnestrickmann @andrewqu @dougproctor @edwardzhou_ @LTantichot @RahulParundekar @jasonfreedman @davecyen @ryanbed @orangecollectv @villageglobal @laura_yao @kevinsimler
@shcallaway @sazabi so cooooool
@shcallaway @sazabi This is only the beginning
@shcallaway @sazabi I’ve done much crazier things on a business call in a nightclub bathroom
@shcallaway @sazabi @ycombinator @garrytan @aaron_epstein @charliewarren @yoheinakajima @alex_holovach @AlexReibman @matt_slotnick @adamsilverman @_JonWang @jefftangx @JNeedem @SumeetMa @rweiss57 @jh_naylor @skeptrune @NDPMVC @aurielws @mattyp @heymikasagi @jakem @rabanspiegel @jqdsouza this video is incredible hahahaha congrats on the raise man lfg
Code is automated, debugging still stayed mostly manual.
@sazabi is trying to close that gap with an AI observability system that detects issues, investigates failures, and helps prepare fixes.
logs are all you need:
Its bet is that logs can become the source of truth, with AI deriving metrics, traces, and possible fixes from the raw events teams already collect.
We raised $8m to build self-healing software.
In 2026, software moves fast.
But monitoring and observability are still manual and slow.
@sazabi is a next-generation observability platform for fast-moving engineering teams.
Not another AI SRE.
Not another LLM observability tool.
A new, general solution to observability that works for any workload (including agents) and leverages AI for maximum speed and automation.
Time to suit up.
@liamail @sazabi We are so lucky to be working with you and the rest of the @sandstonehq team. You guys inspire us!
@shcallaway @sazabi Congrats! Is that @mattyp in the background?
@shcallaway @sazabi haha great video, get 'em!!!! 🚀
@shcallaway @sazabi Incredible launch video
@shcallaway @sazabi A piece of cinema!!
@shcallaway @sazabi Congrats !!
@shcallaway @sazabi 2 AM on-call shift is officially facing an existential threat 😭