Dataleap

What do they actually do

Dataleap builds an AI workspace that turns plain‑English instructions into automations across common business tools. Teams connect apps like Slack, HubSpot, Intercom, Linear, Calendly, DocuSign, Notion, Gmail, and more to automate recurring tasks such as triaging support messages into tickets, preparing sales follow‑ups, or handling routine legal and HR steps. The product ships with example workflows for sales, support, legal, marketing, HR, and product teams so users can get started quickly (site).

For research‑heavy work, Dataleap also offers a “Perplexity for consultants” experience: instead of searching the open web, it answers questions by searching a curated database of market data from public and commercial providers and links back to sources for verification (YC profile).

Who are their target customer(s)

• Management consultants and consulting teams preparing client decks and market analyses: They spend hours collecting facts across paywalled and public sources and worry about incorrect or unverifiable answers when stakes are high. They want faster, source‑backed summaries without stitching data together manually.
• Internal strategy or corporate development teams at large enterprises: They need reliable, quick briefs before meetings but lack time to combine emails, CRM notes, and public data into a single summary, leading to slow and inconsistent prep.
• Sales and SDR teams researching leads and updating CRMs: Reps lose selling time to manual enrichment, building call briefs, and creating follow‑up tasks; after calls, data entry and task creation in tools like HubSpot slows them down.
• People ops or executive assistants handling routine admin: They repeat checklists across calendar, Docs, Notion, and e‑signature tools; the work is tedious, error‑prone, and easy to miss without automation.
• Product and support managers triaging messages and filing tickets: They sift through Slack/Intercom to find bugs or recurring issues and then manually create tickets, causing delays and missed problems.

How would they acquire their first 10, 50, and 100 customers

• First 10: Founder‑led, high‑touch pilots with consulting and internal strategy teams sourced via YC/founder networks. Run 4–8 week paid pilots, ingest the client’s data, and deliver a few client‑ready briefs to prove accuracy and time savings (YC, site).
• First 50: Leverage early case studies and referrals for targeted outbound to consulting and strategy teams via LinkedIn/email, plus webinars walking through market‑brief workflows. Offer short team trials with dedicated onboarding to drive quick wins and invites (YC, site).
• First 100: Move to lower‑touch signup with reproducible playbooks and templates, self‑serve trials, and clear integration listings (e.g., CRM task automation). Add a small SDR/AE pair and partnerships with data providers and consulting communities to convert trials and feed pipeline (site).

What is the rough total addressable market

Top-down context:

The global management consulting services market is roughly $466.7B in 2024, indicating large budget pools for tools that improve research and delivery speed (Fortune Business Insights). As a software analogue, the enterprise search market alone is projected to reach ~$12.7B by 2035, framing adjacent spend for knowledge retrieval and automation (Precedence Research).

Bottom-up calculation:

IBISWorld estimates ~6.8M people are employed in management consulting globally in 2024, with North America accounting for ~40% of revenue share; assuming ~10% of North American/EU consultants are target users at ~$100/seat/month yields an initial beachhead TAM of roughly $300–400M annually (IBISWorld employment excerpt, IBISWorld regional share excerpt).

Assumptions:

• Focuses on consultants in North America/Europe as the initial reachable segment; excludes broader global roll‑out.
• Assumes 10% of consultants in those regions have recurring research workflows and budget for dedicated tooling.
• Assumes pricing near $100 per user per month for research/automation capabilities.

Who are some of their notable competitors

• Perplexity: General‑purpose AI search with citations used by many for research. Strong baseline for question answering but not purpose‑built for curated market‑data sources or business workflow automation.
• AlphaSense: Market intelligence search across company filings, broker research, news, and expert insights. Widely used by finance and corporate strategy teams; strong content partnerships and enterprise features.
• Glean: Enterprise search across internal tools (Docs, Slack, Jira, etc.). Competes on retrieving and summarizing internal knowledge relevant to research and operations.
• Zapier: No‑code automation connecting thousands of apps. Overlaps with Dataleap’s workflow automation use cases for sales, support, and operations.
• Microsoft Copilot for Microsoft 365: AI assistance inside Office/Teams with retrieval over Microsoft Graph. Competes on summarization, drafting, and light automation within enterprise workflows.