Aegisora vs Supernova: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Aegisora and Supernova — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Aegisora

Freemium

Narrow control plane for AI agents: enforce least-privilege on tool/API calls, block PII leaks, and generate human-readable audit logs.

Sidecar proxy: deploys inside your VPC as a lightweight proxy so raw payloads and PII never touch third-party infrastructure.
Least-privilege enforcement: block unauthorized tool calls and API requests based on runtime policies.
Fail-closed compliance: on proxy or network disruption, policies default to fail-closed to prevent unverified execution.
Immutable audit logs: every tool call, payload interception, and policy decision recorded as structured, human-readable logs.
PII masking: intercept and mask PII in agent payloads before they leave your perimeter.
Broad LLM & tool integrations: works with OpenAI, Anthropic, Azure AI, AWS Bedrock, GitHub, Slack, and Vercel out of the box.
Governance controls: rule-based and dynamic policy libraries, plus RBAC/SSO and multi-tier approvals in Enterprise.
Compliance-ready: SOC 2 / ISO compliance suite and custom SIEM integration in the Enterprise VPC tier.

Security team enforces which tools an internal agent can call and blocks anything outside its least-privilege scope.
Compliance officer generates SOC 2 / ISO evidence from immutable audit trails of every agent decision.
CISO deploys AI copilots in a regulated environment while keeping raw payloads and PII inside the corporate VPC.
Platform team masks PII in outgoing prompts before they hit a third-party LLM provider.
SecOps investigates an agent incident using a full timeline of tool calls, prompts, and policy decisions.
Enterprise standardizes runtime governance across many agents, LLM providers, and business units.

Paid

An encrypted Iceberg data lake with a built-in engine and MCP endpoint, so Claude and Codex can query every tool your company uses.

MCP Endpoint for Claude and Codex: Point any MCP-speaking assistant at mcp.supernova.ai/mcp and every synced table becomes queryable in natural language.
Encrypted Iceberg Lake: Open Apache Iceberg tables in object storage with table-level encryption, so the data stays in a portable open format you control.
Zero-Copy Connections: Any engine that speaks Iceberg can read the lake directly, avoiding a second copy of your warehouse.
Time Travel: Every table retains version history, so you can query the state of your data as of any earlier point.
Built-In Frontier Models: Ask a question or describe a dashboard in plain language and Supernova generates the models and visualisations without a data team.
TypeSQL: Schema-aware SQL that autocompletes across joins and type-checks before execution, catching errors the way a typed language would.
Single-Binary CLI: One command-line tool connects sources, runs queries, tails live table changes and registers the MCP endpoint with Claude Desktop, from a laptop or CI.
Git-Backed Dashboards: Models and dashboards are readable and writable through Git, putting analytics artefacts under normal version control.

Conversational Revenue Analysis: Ask Claude which customers churned last quarter and why, with the answer computed over live Stripe and HubSpot tables.
Warehouse Cost Reduction: Replace a multi-vendor pipeline-plus-warehouse stack with one usage-billed platform, which the vendor illustrates as $5,640/mo dropping to $540/mo for a hardware company.
Dashboards Without a Data Team: Describe the dashboard you want in a sentence and have the models and charts generated for you.
AI-Native Data Access Layer: Give internal agents a governed, encrypted single endpoint for company data instead of per-tool API integrations.
Auditing Historical State: Use table version history to reconstruct what the numbers looked like before a pricing or schema change.
CI-Driven Data Workflows: Drive connections, queries and change tailing from pipelines using the single CLI binary.