Your judgment improves your agents. Your data stays yours—with every action secured and auditable.
The production backend for the Rerun data layer. Catalog, byte-range indexing, and retrieval that turns your object stores into a queryable, streamable foundation. Run transforms on the edge or close to the data.
Run any SQL or dataframe query across your catalog, down into the columns, time ranges, and values inside your recordings, not just their metadata.
Add derived columns and evolve schemas without breaking history. You run the transforms with the SDK; Hub keeps the derived data and your raw recordings organized together.
Express a dataset mix as a query and stream it to your GPUs. The dataloader is column-aware and video-codec-aware, so you train directly on your recordings.
One viewer, the same recordings, shared across the team. Explore, annotate, and trace a failure back to the data that caused it.
Explore how deterministic zero-knowledge thresholds progressively secure pipeline state verification.
Unencrypted customer telemetry across fragmented third-party CRMs leaves pipeline data exposed. Baseline verifiable conviction remains bounded within a concentrated particle core.
Confidential hardware enclaves compute enciphered state matrices without revealing underlying payload memory, expanding particle dispersion to a balanced mid-tier equilibrium.
Succinct non-interactive zero-knowledge proofs finalize autonomous multi-party validation with mathematical certainty, filling the full reticle perimeter.
Parallax active • Continuous organic breathing
How our engagement model grew from single fixed-price deliveries to high-velocity retainers and enterprise infrastructure.
Quick answers on ownership, deployment, and how the system learns.
We use isolated retrieval-augmented generation (RAG) and ephemeral in-context fine-tuning. Your organization's proprietary data is never used to train generalized foundation models.
Every active target account is assigned a dedicated autonomous agent that monitors touchpoints, runs background enrichment, and drafts tailored communications in real time.
Unlike basic outbound automation bots, OctoRevenue acts as full-lifecycle intelligence—coordinating account research, pipeline hygiene, and deal execution alongside your senior team.
No. It automates repetitive research, logging, and outbound execution so account executives and SDRs spend their time running qualified sales meetings and closing pipeline.
All institutional playbooks, relationship graphs, and winning communication patterns remain permanently indexed within your workspace's dedicated memory store.
Standard CRM and inbox integration takes under 15 minutes. Agents index your historical pipeline data and begin assisting reps within the first 48 hours.
You maintain 100% legal ownership of your data, embeddings, and workspace-generated assets. All telemetry is encrypted at rest and in transit.
While general LLM assistants handle one-off prompts, OctoRevenue operates proactively in the background across your entire sales stack without manual prompt engineering.