Agents lack private enterprise domain knowledge.
LLMs were not trained on your enterprise domain knowledge. Without access to this knowledge, tasks are often solved with poor accuracy.
The challenge: making this domain knowledge accessible to agents.
Domain knowledge is often scattered across different sources, hidden in siloed business units, or even undocumented. Sovara efficiently extracts only relevant domain knowledge with minimal human interaction.
Sovara runtimeAt runtime, Sovara augments the context of your agents with this domain knowledge. Only what matters and at the right time.
Focus on domain knowledge quality.
Sovara keeps domain knowledge up-to-date, deduplicated, and free of conflicts.
Improve your agent in a tight loop.
Observe agent behavior.
Sovara comes with a fully fledged observability platform supporting popular agent frameworks in Python and Typescript.
See SDKSpot mistakes.
Sovara’s internal agent inspects agentic traces and forms hypotheses where the agent relied on unsupported assumptions.
Fix mistake.
These hypotheses are then resolved by searching company internal data or pro-active outreach to employees via Slack, Teams etc.
Case studies.
“For exposure questions in CMBS, consider look-through exposure and query the commercial buildings tenant table.”
Navigate siloed data and business processes.
We are collaborating with a financial services firm that invests across different credit products (corporate credit, CLOs, ABS, CMBS, RMBS, municipal bonds and related products). Historically each asset class has been run like a separate business inside the firm, with its own desk, workflows and data model. The desks do not talk to each other, which creates problems: the firm cannot easily see its true exposure to a company when that exposure spans several vehicles at once. Sovara learns each desk's internal processes and data models so their data can be stitched together.
Try the Sovara desktop app for free.
Fully local. All your data stays on the machine where Sovara is deployed.
Sovara CLI
Install the CLI, then let your coding agent instrument your project.
1. Install the CLI
curl -fsSL https://apps.sovara-labs.com/cli/install.sh | sh2. Instrument your project
Run this command from your project directory:
sovara setupDesktop app
Choose the installer for your operating system.
Other Linux builds: Debian / Ubuntu arm64 (.deb) · Fedora / Red Hat (.rpm) · Fedora / Red Hat arm64 (.rpm)