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AI agents

Upsolve AI

Upsolve AI is the analytics platform for deploying governed, grounded, and trustworthy data agents that know your business. Data teams use Upsolve's Agent Studio to get to AI-ready data foundations fast, unify and curate their context layer, and test, tune and monitor their Upsolve Data Agent to their benchmark. The company is founded by Ka Ling Wu and Serguei Balanovich, who built a similar product at Palantir before (featured in Palantir's S-1), growing it to 50+ enterprise customers and 8-fig

sources
1
Evidence entries preserved.
affiliations
1
Y Combinator
competitors
6
Mapped from High Signal graph features.
status
generated
D1 lookup
last updated
2026-07-15
16:41 UTC
source evidence
Why this company exists here

Y Combinator

yc-company-directory #5641

Upsolve AI is the analytics platform for deploying governed, grounded, and trustworthy data agents that know your business. Data teams use Upsolve's Agent Studio to get to AI-ready data foundations fast, unify and curate their context layer, and test, tune and monitor their Upsolve Data Agent to their benchmark. The company is founded by Ka Ling Wu and Serguei Balanovich, who built a similar product at Palantir before (featured in Palantir's S-1), growing it to 50+ enterprise customers and 8-fig

source
generated read
High Signal interpretation

Upsolve AI is classified as AI agents from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.

offline extraction
Product facets
enterprise customersUpsolve Data AgentUpsolve AIAgent Studiodata foundationscontext layerData teams
mapping method
Similarity graph

Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.

discovery cluster

Companies similar to Upsolve AI

AI agents · 6 peers

A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.

Thematic

match 77

Thematic is the customer intelligence layer for enterprise CX. Trustworthy and traceable reporting your teams can stake decisions on, and the grounded data foundation your AI agents need to scale safely. Customers see NPS gains of 5 to 35 points and have attributed $4.8M in revenue from a 6-month pilot. Forrester measured 543% three-year ROI. Trusted by DoorDash, Woolworths, BNY, and Mitsubishi.

shared extracted concept terms: customer, layer; shared product terms: customer, layer, enterprise, trustworthy; shared product theme: sales and marketing; same category: AI agents; shared affiliation: Y Combinator

Hamming AI

match 67

Hamming AI is the complete QA platform for voice agents from pre-deployment testing to production monitoring. 4M+ calls tested. 10K+ agents monitored. Trusted by public companies and the fastest-growing voice AI teams. Connect your agent, auto-generate test scenarios, and run thousands of test calls in minutes. In production, monitor every call with 50+ built-in metrics and get alerts before customers notice. Sumanyu (CEO) was previously Head of Data at Citizen and Senior Staff Data Scientist at

shared extracted concept terms: customer; shared product terms: test, monitor, grow, 50; shared product theme: sales and marketing; same category: AI agents; shared affiliation: Y Combinator

Maven Bio

match 66

Maven Bio is a 10-person seed-stage team in Boston building the market intelligence layer for life sciences AI. Three of the top 10 pharma companies are onboarded, and we have 20+ enterprise accounts across pharma, consulting, and investing. Customers report a 40% reduction in low-level analytical work. We are growing fast and heading for a Series A. Our buyers are senior BD, CI, Strategy, and Investing leaders.

shared extracted concept terms: customer, layer; shared product terms: layer, enterprise, customer, grow; shared product theme: sales and marketing; shared affiliation: Y Combinator

Secoda

match 56

We believe that finding the right data shouldn’t require a technical background or hours of digging. That’s why Secoda applies AI to transform messy, siloed analytics into a searchable, intuitive knowledge layer—so every question gets a fast, useful answer. Our vision is to become the AI search engine for your company’s analytics, making data discovery as seamless as finding a website on Google. To do that, Secoda gets data AI-ready by unifying governance, cataloging, observability, and lineage

shared extracted concept terms: layer; shared product terms: analytic, layer, fast, ready; shared product theme: context and memory; shared affiliation: Y Combinator

Kashikoi

match 51

Kashikoi is a simulation engine to benchmark AI agents. We generate CPU friendly world models that autonomously interview agents and generate deep behavioral assessments. We built a similar technology at Moveworks which was used to ship 250+ enterprise agents to customers daily.

shared extracted concept terms: customer; shared product terms: benchmark, similar, enterprise, customer; shared product theme: sales and marketing; same category: AI agents; shared affiliation: Y Combinator

Talk-A-Bot

match 41

Talk-A-Bot is an enterprise chatbot provider. We turn conversations into apps and context into monetization.

shared extracted concept terms: enterprise, context; shared product terms: enterprise, context; shared product theme: context and memory