Synaura is a central infrastructure provider for companies moving toward agentic workflows. By providing a dedicated MCP (Model Context Protocol) endpoint, they allow AI agents to move beyond generic LLM training data and access specific, real-time company context. This is particularly relevant for coding agents like Cursor and Claude Code, which can use Synaura to understand product requirements, engineering decisions, and customer pain points directly within the development environment.
The company is also championing the use of 'signed skills' for agent authorization. By using post-quantum signatures (ML-DSA-65) to verify procedures, Synaura provides the necessary guardrails for agents to execute tasks based on trusted institutional knowledge. This positions them as a critical security and context layer in the agent stack, ensuring that as agents become more autonomous, they remain aligned with human-made decisions and verified processes.
Most enterprise software is designed to store data, not to understand it. For a typical B2B SaaS company, information is scattered across Slack threads, Linear tickets, and GitHub pull requests. The result is a form of institutional amnesia where marketing promises features that engineering has already flagged as fragile, or product managers build roadmaps that ignore recurring complaints in customer support channels. Synaura is built to solve this alignment problem by treating a company's collective data as a single, living brain.
Historically, the solution to fragmented data was enterprise search. Tools like Glean or Notion AI focus on the question 'find me the document.' Synaura shifts the focus toward 'is our roadmap actually solving the problems our customers are talking about?' By connecting to Slack, Linear, and GitHub via OAuth, the platform ingests data and builds a typed graph of decisions, processes, and relationships. It doesn't just index keywords; it clusters signals into what it calls the Signal Coverage Loop.
This loop evaluates company performance across four dimensions: internal awareness, roadmap presence, marketing coverage, and external customer signals. If external signals on sites like G2 or Reddit indicate a problem with SSO configuration, but there is no corresponding ticket in Linear and the marketing site still claims the setup is 'one-click,' Synaura flags the contradiction. This is a move away from passive storage toward active risk detection.
One of the more distinct aspects of Synaura's architecture is its commitment to the Model Context Protocol (MCP). While many knowledge tools attempt to lock users into a proprietary web dashboard, Synaura exposes its insights through an MCP endpoint. This allows AI agents—specifically coding agents like Claude Code or Cursor—to query the company's internal knowledge base directly.
When an engineer is working in their IDE, they can use Synaura as a reference layer. They aren't just looking at code; they are looking at the 'why' behind the code. The agent can fetch signed procedures or 'skills' that represent the company's agreed-upon way of doing things. This reduces the need for constant human-to-human context switching and ensures that agents are operating with the most current institutional knowledge.
As companies hand more autonomy to AI agents, the security of the underlying knowledge becomes a primary concern. Synaura implements a security model based on cryptographically signed skills. Every procedure or decision card is signed using ML-DSA-65, a post-quantum cryptographic standard.
This approach assumes a future where traditional RSA or ECDSA signatures might be vulnerable. By using FIPS 204 standards, Synaura ensures that the 'brain' is tamper-evident. When an AI agent executes a task based on a Synaura skill, the system can verify that the instructions are authentic and authorized. This is a level of rigor typically reserved for federal systems, applied here to the mundane but critical world of B2B SaaS operations. The company is currently targeting teams in the 50 to 500-person range, where the complexity of communication usually begins to outpace the speed of execution.
An operating brain that detects contradictions across company tools and distributes context to AI agents.
Synaura is hiring.