Dataset Labs
    Use case · Market research

    Any market map, from a prompt.

    Competitive landscapes, category rosters, funding trackers. Describe the market, get a clean dataset with every company, founder, and signal you need.

    Find all Series B SaaS companies in AI observability, with founders and funding

    CompanyFoundedFundingHQFounders
    Parallax Labs2021$32M Series BSan FranciscoElena Renn, Tom Berg
    Helio Trace2020$48M Series BSeattleNora Chen
    Sparkhaul2022$18M Series BNew YorkJames Whitfield, Aisha O.
    Waveform2021$25M Series BAustinDavid Park
    Echo Works2020$54M Series BSan FranciscoMira Halstead
    Quill Inference2022$22M Series BNew YorkPriya Delmar
    Brightfield Labs2019$40M Series BBostonSarah Klein
    Meridian AI2021$30M Series BTorontoJonas Kempter
    Lumen Stack2022$26M Series BDenverFelix Oduya

    How it works for market research

    Describe the market. We surface the right companies, enrich every row with the data you need, and hand back a clean structured dataset.

    Describe the market you need to see

    Category, geography, stage, go-to-market motion. Map a full TAM, a narrow competitor set, or anything in between. Just describe it.

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    Map Series B SaaS companies in AI observability…

    Filter by the signals that shape a market

    Pricing model, recent product launches, customer type, funding stage, hiring signals. The things that actually define competitive position.

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    FilterRaised Series B in last 6 months
    Parallax Labs
    $32M Series B, Mar '26
    Atlas Compute
    Seed stage, 2024
    Helio Trace
    $48M Series B, Apr '26
    Glacier Obs
    Series A, bootstrapped
    Quill Inference
    $22M Series B, Feb '26
    Vespertine AI
    Acquired last year
    Sparkhaul
    $18M Series B, Apr '26
    Meridian AI
    Pre-seed
    Echo Works
    Series C, 2023
    Lumen Stack
    Series A, 2024
    Brightfield Labs
    $40M Series B, Jan '26
    Umbra Compute
    Raising, not closed

    Enrich every company with the attributes you're tracking

    Tech stack, headcount growth, key hires, customer logos, last funding round. Every row ready to answer the questions you're building this to answer.

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    $32M Series B
    ~140 employees
    Growing 40% MoM
    GPU infra, LLM evals
    Parallax Labs
    AI observability · Series B

    Maps markets no database has

    Niche verticals, emerging categories, international markets, long-tail competitors. If the major data vendors haven't catalogued it, we build the map from scratch.

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    What databases catalogue
    SaaS
    Fintech
    E-commerce
    Healthcare
    What we can also map
    AI observability
    Embedded payments
    LLM eval platforms
    Climate tech
    D2C haircare
    Indie game publishing

    More things you can ask for

    Just a few examples. Describe any list you want.

    Competitor tracking

    All companies competing with Linear, with pricing page, team size, and last funding round.

    Funding-category maps

    Every AI agents startup that raised in the last 6 months, with investors and lead founder.

    Emerging tech scans

    Startups shipping at the intersection of AI and robotics, with stage and founder backgrounds.

    Association rosters

    Members of the AAAI or IEEE, with affiliation, research focus, and contact email.

    Accelerator alumni

    Y Combinator companies from the last 3 batches in fintech, with stage and latest round.

    Investor portfolio maps

    All Sequoia-backed SaaS companies founded since 2021, with team size and ARR signals.

    Ready? Describe your first dataset.

    Start free. No credit card required.