Plansera AI vs Supernova: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Plansera AI and Supernova — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Plansera AI
Plansera
AI paralegal that interviews E-2 visa clients, reads their evidence, checks eligibility, and produces a submission-ready business plan for a flat $100.
Key features
- Conversational Document Intake: An AI paralegal interviews the client in plain language and reads uploaded bank statements, leases and invoices, extracting figures and source/use of funds automatically.
- Built-in E-2 Eligibility Checks: Verifies substantial investment, capital at risk, traceable source of funds, non-marginal enterprise and a directing role before generating the plan.
- Deterministic Financials: Produces five-year revenue projections, cash flow and break-even analysis as clean tables and charts.
- Confirmed Use of Funds: Presents a categorized investment breakdown the client reviews and approves before generation.
- Submission-Ready Output: Generates a professionally designed PDF and an editable Word document formatted for the consulate.
- Flat-Fee Pricing: One price per plan with no subscription required.
Best for
- Immigration Attorneys: Drafting consulate-ready E-2 business plans for clients without outsourcing to a plan-writing firm.
- E-2 Visa Applicants: Producing an adjudication-standard plan grounded in their own financial evidence.
- Source-of-Funds Documentation: Automatically tracing and categorizing where investment capital originated.
- Financial Projection Building: Generating defensible five-year projections, cash-flow and break-even figures for a new enterprise.
- Document Review Prep: Assembling leases, invoices and bank statements into a structured case file.
Supernova
Supernova
An encrypted Iceberg data lake with a built-in engine and MCP endpoint, so Claude and Codex can query every tool your company uses.
Key features
- 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.
Best for
- 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.