Upsolve AI GTM brain

Upsolve AI sells a governed analytics agent platform to data teams and software companies embedding data answers in their products.

category

AI analytics agents

market profile

  • text: Data teams face repeat analytics requests and a backlog, creating demand for self-service answers.
  • text: Production analytics agents must resolve business definitions and permissions, not just generate SQL.

personas

  • title: Head of Data or Analytics
    pains:
    • Analysts repeatedly answer the same business questions
    • AI answers can use the wrong KPI definition and erode trust
  • title: Product leader for embedded analytics
    pains:
    • Building tenant-aware customer-facing analytics consumes engineering time
    • Customers need answers within the product with appropriate data permissions

icp

  • text: Organizations with a data team, a warehouse and multiple business functions requesting analytics.
  • text: B2B software vendors looking to embed multi-tenant analytics and enforce row-level access.

message pillars

  • text: Give business users trusted answers without the data queue.
  • text: Make the agent more accurate as it is used.
  • text: Launch with context, evaluation and observability built in.

objections

  • objection: Can we trust generated analysis?
    response: Pilot against known questions and evaluate definitions, SQL and lineage before rollout.
  • objection: Will customer data be isolated?
    response: Assess the Team tier's row-level security and multi-tenant support against your access model.

competitors

  • name: Hex
    why: Offers analytics and a competing context studio for data agents.
  • name: Tableau
    why: Provides business intelligence and AI-assisted analytics.
  • name: Julius AI
    why: Offers AI-based data analysis.

influencers

  • name: Ka Ling Wu
    url: https://www.linkedin.com/posts/wukaling_aiagents-datasecurity-b2bsaas-activity-7493693469752815617-UUdD
    why: Co-founder discussing agent data security and customer analytics.

keywords

  • AI data analyst
  • governed data agents
  • embedded analytics AI
  • text to SQL agent
  • analytics semantic layer
  • AI business intelligence

voice

  • technical and practical
  • trust and governance focused
  • outcome oriented

signals

  • text: A growing queue of repeated requests for sales, finance or operations metrics.
  • text: Plans to embed analytics in a multi-tenant product.

stack

  • Postgres
  • SQL
  • MCP

hiring

  • Founding AI Engineer

pricing

model: freemium
starting price: $0; Pro $500/month

motion

hybrid

channels

  • SEO
  • LinkedIn
  • Product Hunt

confidence

high

Founders

  • name: Ka Ling Wu
    title: Founder/CEO
    role: CEO
    bio: Ka Ling is the Co-founder & CEO of Upsolve AI. Before Upsolve, Ka Ling led product solution development at nPlan, a Series A AI & Construction tech startup, focusing on client expansion. Before her stint at nPlan, she spent four years at Palantir where her responsibilities ranged from managing client engagements and stakeholder relationships to spearheading the creation of Palantir's HyperAuto product from inception to market launch. Ka Ling also opened the Korea market for Palantir.
  • name: Serguei Balanovich
    title: Founder/CTO
    role: CTO
    bio: Serguei is the Co-founder & CTO of Upsolve. Before Upsolve, Serguei spent seven years at Palantir where he pioneered early Supply Chain and Manufacturing commercial work, and later productized this work into Palantir HyperAuto. Serguei also worked on Palantir Apollo as a dev lead. Outside of software, Serguei loves puzzles, board games, and teaching.

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