Last updated: 2026-07-01
Cerenovus is an organizational intelligence platform built for companies with 20 to 500 employees, converting Slack messages, emails, PDFs, spreadsheets, and meeting notes into one markdown knowledge graph. Claude-powered multi-agent systems map how teams and processes connect, then generate evidence-backed answers to leadership questions about restructuring, vendor decisions, and cross-team handoffs.
About Cerenovus
Cerenovus is a 2026 YC S26-backed organizational intelligence platform founded by Lucas Baur, Oliver Moreland, and Jonathan Waldorf, three Harvard students based in San Francisco. The platform ingests a company's documents, PDFs, emails, Slack messages, spreadsheets, and meeting notes through a single automated pipeline. Cerenovus is currently in pilot stage with select customers, accessed through direct outreach to the founding team rather than self-serve signup. Pricing is negotiated per engagement and has not been published, typical for an early-stage startup still building its track record with larger organizations.
Pricing
Custom pricing only; no public pricing page as of June 2026. Early access via direct outreach to the founding team at cerenovus.ai. Pilot customers are live.
Key Features
- Universal File Ingestion: Ingests documents, PDFs, Slack messages, emails, spreadsheets, and meeting notes from across a company in a single automated pipeline, with no manual tagging or categorization required.
- Markdown Knowledge Graph: Converts all ingested company files into a unified markdown knowledge graph that is readable by both humans and AI agents, replacing scattered information silos with a single queryable source.
- Workflow Mapping: Maps the company as a system by drawing connections between people, teams, processes, and tools, surfacing dependency chains and handoff points that are invisible in raw documents.
- Operational Inference: Claude-powered multi-agent systems analyze the knowledge graph to identify where workflows break down and generate specific recommendations backed by cited internal documents.
- Decision-Ready Answers: Answers leadership questions about team restructuring, vendor decisions, and departmental handoffs with evidence from real internal sources in minutes instead of weeks.
- Native AI-Agent Integration: The knowledge graph is built for agent-native access, so AI agents can query it directly rather than parsing unstructured files, enabling more accurate and grounded AI workflows.
Pros
- Generates evidence-backed answers to operational questions in minutes, citing real internal documents instead of generic frameworks or slide decks.
- Agent-native design means the knowledge graph plugs straight into other AI workflows without a separate document-parsing step, a structural advantage over tools built only for human search.
- Pilot customers are already live, and because the team is small, early adopters get direct access to the founders rather than an account-management layer.
Cons
- No published pricing or public free tier: as an early-stage startup, cost, SLA, and contract terms require a direct sales conversation rather than a self-serve checkout.
- No published compliance certifications (SOC 2, HIPAA, GDPR) as of June 2026, which blocks adoption in regulated industries like healthcare and finance.
- Team of 3 means limited support bandwidth: enterprise buyers needing 24/7 SLA coverage or complex onboarding carry startup-stage risk.
Frequently Asked Questions
How much does Cerenovus cost in 2026?
Cerenovus does not publish pricing; it is in pilot stage with pricing negotiated directly with the founding team at cerenovus.ai. There is no monthly or per-seat rate listed, and quotes depend on company size and data volume. Budget for a custom pilot agreement rather than a self-serve subscription.
Is Cerenovus free to use?
Cerenovus has no public free tier or self-serve trial. Access happens through direct outreach to the founding team, and design partners typically join via a structured pilot agreement, sometimes with reduced pricing in exchange for feedback. Once out of pilot stage, a self-serve plan may follow, though none has been announced yet.
What are the best alternatives to Cerenovus?
The closest alternatives are Glean, Notion AI, and Coworker AI. Glean is an enterprise search engine with published compliance certifications, a safer pick for regulated industries. Notion AI suits teams that want a manually organized, editable wiki rather than an automatically inferred graph, while Coworker AI captures implicit Slack and meeting knowledge without Cerenovus's graph-based inference.
How does Cerenovus compare to Glean in 2026?
Glean is an enterprise search engine that retrieves documents across connected apps like Slack and Google Drive; Cerenovus instead builds a knowledge graph and infers where company workflows break down. Glean typically prices at $15 to $30 per seat per month and publishes compliance certifications like SOC 2; Cerenovus is custom-priced through pilot agreements and has not published any compliance attestations. Choose Glean for fast, compliant search at scale; choose Cerenovus for operational analysis from a newer, unaudited vendor.
How do you get started with Cerenovus?
Contact the founding team through cerenovus.ai to request pilot access, describing company size and the data sources you want connected such as Slack, email, and Google Drive. After a discovery call, Claude-powered pipelines ingest your data and build the initial knowledge graph, which can take hours to days depending on volume. Once live, you can ask natural-language questions about workflows, team structure, or vendor relationships.
Top Alternatives
- Glean: Pick Glean if you need fast enterprise search across 100+ connected apps; choose Cerenovus when you want AI to map how your company works and surface operational bottlenecks.
- Notion: Pick Notion if you need a flexible team-editable wiki and project database; choose Cerenovus when you want AI to automatically infer company workflows from raw communications.
- eesel AI: Pick eesel AI when you need a quick AI assistant layered over your Slack and Notion docs; choose Cerenovus when you want full workflow inference and organizational mapping.