Cosavu

We save your AI Inference & Compute costs✌️. Context intelligence layer, Retreival and Governance.

[Cosavu @cosavu_com]

@svembu @svembu happy to help around pushing your R&D efforts. We spent huge time on bringing innovations in pre-training. Unable to DM you here.

[Cosavu @cosavu_com]

@billgnofficial https://t.co/IfL1yPifqT

[Cosavu @cosavu_com]

@john_ssuh
We think the primitive is not a unified filesystem. It’s a time-indexed state layer for the company.

Agents don’t just need access to Datadog, PostHog, Slack, Drive, code, etc. They need to know what was true at the time a decision was made.

Current state is cheap. Temporal context is scarce.

The hard part is preserving deltas, provenance, causality, and rollback paths across systems without forcing the company to rebuild every tool underneath it.

That feels like the real foundation for AI-native companies.

[John Suh @john_ssuh]

Increasingly, I believe companies may need to be rebuilt from the ground up, where you have a single timeline of all observability + product metrics + file changes laid out in a retrievable system, like Datadog + Posthog + Google Drive + Slack (really unified filesystem of Claude Code chats + Codex chats). This might be the new data foundation for any and all companies to maximize AI. Needs to be rebuilt because keeping track of diffs on existing system basically impossible to produce longitudinal information on decisions and rollbacks, something coding agent storage companies are actively trying to figure out, but this should extend to businesses as a whole.

Highly skeptical existing businesses will adopt this though because it means overhauling everything about their instrumentation and business data, but I think businesses built on this foundation probably can execute 100x better and faster

[Cosavu @cosavu_com]

@16vchq https://t.co/IfL1yPifqT

[Cosavu @cosavu_com]

hello AI Teams,

you’re losing more money than you think on your agentic / AI workflows. we fixed it with context.

with one single API, you can generate 20% more revenue from your existing workflows while adding security, governance, and monitoring.

context, tokens, and observability, handled before inference.

proprietary middleware.
not a wrapper.
pure context infrastructure.

We're opening our calendar publicly this week for teams already running AI workflows in production.
lets find some time here: https://t.co/KX4CKOr5Hm

[Cosavu @cosavu_com]

@sridharfyi https://t.co/IfL1yPifqT - we reduce your token bills (output tokens) and latency by delivering efficient context to your production Ai/agentic workflows.

[Cosavu @cosavu_com]

@JakeFleshner Context intelligence

[Cosavu @cosavu_com]

@sridharfyi hey sent dm

[Cosavu @cosavu_com]

@chamath You're margin is my revenue at https://t.co/HbFbUIwcXx

[Cosavu @cosavu_com]

figured this out, while building AI search system for one client, it worked damn good in demo, but in production it failed and lot of manual efforts for every fix, even after using multiple observation tools & evals, combined vectors & graphs too, even though no use, then started research, got an answer started https://t.co/hVMMGsvCIa.

[Cosavu @cosavu_com]

@divaagurlxw Happy to collab with you, we educate our clients on the same.

[Cosavu @cosavu_com]

@TTrimoreau name of the startup, is hard to copy, is it correct?😅

[Cosavu @cosavu_com]

@alexisaftalion how many tokens you burned brother?

[Cosavu @cosavu_com]

@DanielSmidstrup we're slightly medium rich, so both 😅

[Cosavu @cosavu_com]

@bercankilic @Thishyaketh

[Cosavu @cosavu_com]

@adambcohen93 @WorkWeave give us a seat, would love to reduce your inference bills upto 50%

[Cosavu @cosavu_com]

@jainarvind it's true. our deck had one line👇, our customers pay us when they save tokens.

[Cosavu @cosavu_com]

our Investment deck had one line 👇. When you solve the context, you'll get 50% cheaper inference bills. If not, you're not actually solving the context, you're just saying.

At @cosavu_com customers pay us, when they see, saving their tokens. @JayaGup10

[Jaya Gupta @JayaGup10]

https://t.co/eUp5waUIwl