Meetings that remember,
decisions that move.
Ambient on-device intelligence that turns conversations into searchable decisions, structured knowledge, and automated follow-through.
Sarah Chen
Product lead
Marcus Vance
Staff architect
We need to make sure cross-node sync latency stays strictly sub-200ms when indexing audio across distributed pods.
Agreed. Local ONNX weights on Apple Silicon run at 0.12x real-time factor with zero buffer overrun during continuous streaming.
Let’s make this the default pipeline for the v2 launch. Marcus, can you publish the benchmark numbers by Monday?
- •Sub-200ms latency requirement approved.
- •Apple Silicon ONNX pipeline locked as default.
We need to make sure cross-node sync latency stays strictly sub-200ms when indexing audio across distributed pods.
Let’s make this the default pipeline for the v2 launch. Marcus, can you publish the benchmark numbers by Monday?
Trusted by engineering and product leaders worldwide
Engineered for clarity. Powered by ambient intelligence.
Every layer operates quietly in the background, turning spoken dialogue into organized, actionable knowledge.
Connect every discussion to your team’s memory.
Cadence indexes decisions, dependencies, and topics across meetings, synthesizing spoken exchanges into an interconnected map of work.
Flawless voice separation.
Distinguishes overlapping voices with acoustic precision, even during unscripted cross-talk.
Search spoken dialogue like text.
Ask natural questions and pinpoint the exact timestamped phrase in seconds.
“Local ONNX weights on Apple Silicon run with zero stutter...”
From spoken agreement to completed task.
Isolates action items, detects assignees, and pushes updates straight to your team tools before you close your laptop.
Zero audio stored. Sub-240ms stream latency.
Inference executes locally on device or in private sandboxes. Spoken words never train public models.
From initial brief to final follow-through.
Cadence connects the threads before you speak, stays silent while you discuss, and drives work forward once you wrap.
Preparation: Automated context briefing
Synthesizes decisions from past syncs, open Linear issues, and pending PRs into an instant briefing pack before you join.
Local ONNX weights execute client-side on Apple Silicon to eliminate cloud streaming latency.
Validate whether 200ms audio buffer constraints hold on edge replica nodes.
Engineered for your domain.
Cadence calibrates its listening models to the vocabulary and rhythm of your team.
Architecture syncs, sprint planning & RFCs
Turns architecture syncs and RFC debates into engineering specs and Linear issues.
Trusted by teams who move fast.
Read how leaders, engineers, and founders use Cadence to turn conversations into autonomous momentum.
“Cadence is the first tool where I don’t feel like a bot is intruding on my conversation. It sits silently on my Mac, listens with zero cloud roundtrips, and our roadmap tickets are in Linear before I even open the tab.”
Elena Rostova
Head of Product, Hyperplane
“In board discussions and partner syncs, confidentiality isn’t optional. Running local neural weights means our sensitive term sheet talks never touch a third-party server.”
Marcus Vance
General Partner, Frontier Capital
“Our reps used to lose 45 minutes per discovery call manually updating Salesforce. Cadence extracts MEDDIC criteria flawlessly and drafts tailored executive recaps immediately.”
Devina Patel
VP of Revenue Operations, Synthetix
“It actually understands technical grammar—RFC references, memory budgets, microservice dependencies. No generic fluff summaries. Just razor-sharp architectural consensus.”
Julian Thorne
Staff Systems Architect, Lattice Systems
“I haven't written a post-meeting action memo in three months. The cognitive relief of knowing Cadence captured every commitment and dispatches the follow-through is priceless.”
Soren Lindqvist
Co-founder & CEO, Northward
Ready to give your meetings a memory?
Runs entirely on your Mac. No meeting bots, zero cloud storage, and autonomous follow-through dispatched across your team.