Last updated: 2026-06-24
Cerenovus is a YC S26 AI tool that converts your company's Slack, emails, and docs into a knowledge graph, surfacing workflow bottlenecks. Custom pricing.
Cerenovus is a 2026 YC S26-backed AI tool that ingests every file a company produces (Slack messages, emails, PDFs, spreadsheets, meeting notes) and converts them into a markdown knowledge graph. Claude-powered multi-agent systems map workflows, pinpoint bottlenecks, and answer leadership questions with evidence in minutes. Pricing is custom; pilot customers are live.
Cerenovus is a 2026 YC S26-backed organizational intelligence platform that converts every file a company produces into a live, AI-queryable knowledge graph. Founded by Lucas Baur, Oliver Moreland, and Jonathan Waldorf (Harvard students) and based in San Francisco, the platform ingests documents, PDFs, emails, Slack messages, spreadsheets, and meeting notes in a single automated pipeline. The result is a unified view of how the company actually operates, rather than how it is supposed to operate based on org charts and documentation. The core mechanism is a markdown knowledge graph built and maintained by Claude-powered multi-agent systems. Once the graph is constructed, Cerenovus maps the company as an interconnected system, drawing relationships between people, teams, processes, vendors, and decisions based on what those data sources actually reveal. From that map, the system infers where operations are inefficient, where handoffs between teams break down, and where vendor relationships may need reconsideration. The primary output is decision-ready answers for leadership. Whenever a COO, CEO, or chief of staff needs to act on a question (whether to restructure a team, whether to keep a vendor, where two departments are misaligned), Cerenovus surfaces an evidence-backed answer with citations from real internal documents in minutes. The company positions this as a faster, cheaper alternative to internal consulting engagements or weeks-long data gathering exercises. Cerenovus is currently in pilot stage with select customers and is accessed via direct outreach. Pricing is custom and negotiated with the founding team. The platform is web-based, with no published desktop or mobile apps. The product is best suited to founders, COOs, chiefs of staff, and operations managers at companies with 20 to 500 employees where cross-team knowledge is scattered across dozens of communication channels. As a newly founded YC startup with a team of 3, Cerenovus is an early-stage product. It does not yet publish compliance certifications (SOC 2, HIPAA, GDPR), and its enterprise readiness will mature as the company scales. Teams that need an established vendor with SLAs and security audits should plan for a pilot evaluation period rather than immediate production deployment.
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.
Cerenovus is a 2026 YC S26-funded AI tool built by three Harvard students that converts every file a company produces into a live, AI-queryable knowledge graph. The platform ingests documents, PDFs, Slack messages, emails, spreadsheets, and meeting notes, then structures all of that information into a single, uniformly readable markdown knowledge graph. Beyond search, Cerenovus maps the company as an interconnected system, drawing relationships between people, processes, and tools across departments. From that map, Claude-powered multi-agent systems infer where workflows are inefficient, where handoffs break down, and where vendor relationships may need review. Leaders can pose operational questions (how to restructure a team, whether to cut a vendor, where two departments are misaligned) and get evidence-backed answers in minutes. The product is built on Anthropic Claude and uses multi-agent ingestion pipelines to keep the knowledge graph current as the company evolves. Pilot customers are live as of 2026, and the founding team is actively signing early design partners.
Cerenovus does not publish pricing publicly as of mid-2026; the product is in early-access pilot stage and pricing is negotiated directly with the founding team. There is no publicly listed free tier, monthly flat rate, or per-seat price on the website. The company is a 3-person YC S26 startup, which typically means early pilots are priced flexibly to fit design-partner agreements. To get a quote, prospective customers need to contact the team at cerenovus.ai to discuss their company size, data volume, and use cases. For context, comparable organizational intelligence platforms like Glean typically range from $15 to $30 per seat per month at scale, but Cerenovus may price differently as an inference and knowledge-graph product rather than a search tool. Enterprise teams should budget for a pilot engagement rather than expecting a self-serve monthly subscription in the near term. Pricing details are expected to be published once the product moves out of early access.
Cerenovus has six core capabilities that distinguish it from standard knowledge-base tools. Universal file ingestion reads PDFs, Slack messages, emails, spreadsheets, and meeting notes from across a company in a single pipeline, with no manual tagging required. Markdown knowledge graph construction converts all ingested content into a structured, AI-readable graph where people, tools, processes, and decisions are linked by context rather than just keywords. Workflow mapping draws connections between how different teams operate, surfacing dependency chains and handoff points that are invisible in raw documents. Operational inference uses Claude-powered agents to analyze the graph, identify where processes are breaking down, and generate recommendations backed by specific internal documents or conversations. Decision-ready Q&A lets executives ask natural-language questions about team structure, vendor relationships, or cross-department bottlenecks and receive cited, evidence-grounded answers within minutes. The platform is also designed for agent-native integration, meaning AI agents can query the graph directly rather than needing to parse unstructured files.
Cerenovus does not have a public free tier as of June 2026. The product is in pilot stage, and access is granted through direct outreach to the founding team rather than a self-serve signup flow. There is no free-forever plan, no freemium tier with limited uploads, and no trial that requires only a credit card. Early design partners typically get access through a structured pilot agreement, which may include reduced pricing in exchange for product feedback. Companies interested in early access can apply via cerenovus.ai, where a contact form connects them directly to the founders. For teams that need a free alternative now, tools like Notion (with AI add-ons) or eesel AI offer self-serve plans starting at $0. Once Cerenovus moves beyond the pilot phase, a structured pricing page with trial options is likely, but one has not been announced as of June 2026.
The most direct alternatives to Cerenovus in the organizational knowledge space are Glean, Notion AI, and Coworker AI. Glean is the market leader for enterprise search, indexing 100-plus apps and offering instant retrieval across Google Drive, Slack, and Salesforce; choose Glean when you need fast, accurate search across all company apps with proven compliance certifications. Notion AI combines a flexible wiki with AI summarization and Q&A; choose Notion when you need lightweight, structured documentation that teams can edit and organize manually rather than an automatically inferred graph. Coworker AI positions itself as an organizational memory product, capturing implicit knowledge from Slack and meetings, and is a close use-case match to Cerenovus but does not emphasize graph-based inference. For teams that need compliance certifications (SOC 2, HIPAA) before deployment, established tools like Glean or Guru are the safer near-term choice, since Cerenovus has not published security attestations as of 2026. Cerenovus's core differentiator is that it goes beyond retrieval into inference: it does not just find documents, it maps how the company works and identifies where it is broken.
Cerenovus is best for founders, CEOs, COOs, and chiefs of staff at high-growth companies (roughly 20 to 500 employees) who spend significant time trying to understand how the business actually operates across teams. Operations managers who need to identify where cross-team handoffs are breaking down will find the workflow-mapping feature directly actionable, particularly in organizations where processes live in Slack threads rather than documented wikis. Chiefs of staff who regularly compile decision briefs for leadership can use Cerenovus to generate evidence-backed memos in minutes instead of assembling them manually from multiple Slack channels. Strategy teams and internal consultants doing business reviews or org restructuring projects are a strong fit, since Cerenovus surfaces the same information a consulting engagement would gather at a fraction of the time and cost. Cerenovus is NOT a good fit for individual contributors who need simple document search, for teams that require SOC 2 or HIPAA compliance before onboarding a new vendor, or for organizations smaller than 10 people where the knowledge graph would be too sparse to produce useful inferences. It is also not ideal for teams that need a self-serve product with immediate onboarding, since the pilot stage requires direct engagement with the founding team.
Getting started with Cerenovus requires contacting the founding team directly, as there is no self-serve signup as of June 2026. Visit cerenovus.ai and use the sign-up or contact form to request early access, describing your company size, the types of data sources you want to connect (Slack, email, Google Drive, etc.), and the operational questions you want to answer. The founding team, based in San Francisco, typically responds within a few business days and will schedule a discovery call to understand your use case. During onboarding, Cerenovus ingests your connected data sources using Claude-powered multi-agent pipelines; the initial knowledge graph build may take hours to days depending on data volume. Once the graph is live, you can start asking natural-language questions about workflows, team structures, or vendor relationships through the Cerenovus interface. For best results, connecting high-signal data sources first (Slack, email, meeting notes) gives the graph the richest set of informal process knowledge to map. The knowledge graph updates automatically as new data flows in, keeping answers current without manual maintenance.
Cerenovus and Glean both index company data, but they serve fundamentally different use cases that rarely overlap in practice. Glean is an enterprise search engine: it connects to 100-plus apps and returns fast, cited answers to retrieval questions like 'find all documents about Project X from the last 90 days.' Cerenovus is an organizational inference engine: it builds a knowledge graph of how the company works and answers strategic questions like 'where does the handoff between sales and customer success break down?' Glean is the better choice for teams that need broad-app search, fast time-to-value from a self-serve product, and proven enterprise compliance (SOC 2, HIPAA, ISO 27001). Cerenovus is the better choice for leadership teams that want AI to analyze operational efficiency, map team dependencies, and surface recommendations, not just retrieve documents. On pricing, Glean typically charges $15 to $30 per seat per month at scale, while Cerenovus is currently custom-priced through direct pilot agreements. As a 2026 YC S26 startup, Cerenovus is at a much earlier maturity stage than Glean, so teams needing enterprise SLAs should factor in the startup risk during evaluation.