Structured search
Best when you know specific criteria — industry, employee count, funding stage, location.Example prompts
- “Find 20 SaaS companies in San Francisco with 50-500 employees”
- “Find Series A fintech startups in the US”
- “Find AI companies founded after 2020 with at least $5M funding”
Available filters
| Filter | What it does | Example |
|---|---|---|
| Keywords | Match company descriptions (OR logic) | “developer tools”, “fintech” |
| Industries | Strict industry category | ”Software”, “Healthcare”, “Finance” |
| Location | City, state, or country | ”Austin, TX”, “California” |
| Countries | Country filter | ”United States”, “Canada” |
| Employee count | Min/max headcount | 50–500 employees |
| Funding stage | Stage filter | seed, series_a, series_b, etc. |
| Funding amount | Min/max total raised | 50M |
| Founded year | Min/max founding year | 2018–2023 |
| Accelerators | Y Combinator, Techstars, etc. | Specific batches supported |
Natural language search
Best when your criteria are too nuanced for filters, or when structured search returns no results.Example prompts
- “Find AI companies building developer tools in San Francisco”
- “Find Series C healthcare SaaS companies”
- “Find recently funded climate tech startups”
What you get back
| Field | Description |
|---|---|
| name | Company name |
| website | Company website |
| industry | Industry category |
| description | Company description |
| employee_count | Headcount |
| location | Headquarters |
| linkedin_url | LinkedIn company page |
| logo_url | Company logo |
| founded_year | Year founded |
| funding_stage | Latest funding stage |
| total_funding | Total funding raised |
Tips
- Less is more — don’t over-filter. Start broad, narrow if needed.
- Keywords are OR logic — “fintech” or “payments” matches either.
- Natural language fallback — if structured search returns 0 results, Canvas automatically retries with natural language.