Solidroad
Solidroad builds AI agents for CX teams, starting with training and QA. Solidroad agents train human reps in a simulated environment, and evaluate their performance in live customer channels. By starting with training and QA, our agents learn how humans learn, and their performance can be compared directly with human reps. This enables us to prove the value of the rest of the agents on our roadmap. Since launching last summer, we’ve reduced onboarding times by 50% at several of the world’s large
Y Combinator
yc-company-directory #5743Solidroad builds AI agents for CX teams, starting with training and QA. Solidroad agents train human reps in a simulated environment, and evaluate their performance in live customer channels. By starting with training and QA, our agents learn how humans learn, and their performance can be compared directly with human reps. This enables us to prove the value of the rest of the agents on our roadmap. Since launching last summer, we’ve reduced onboarding times by 50% at several of the world’s large
sourceSolidroad 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.
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.
Companies similar to Solidroad
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.
Hyper
match 57Hyper is a shared brain that plugs into all information flowing inside a company, creates a self-maintaining knowledge graph, and makes your AI employees better and ultimately saves people time. Our in-house memory system scores at or above SOTA on most public benchmarks, and we've built a custom eval suite to measure our precision/recall metrics. In the last 12 days since launch, we've gotten top 5 / top 12 on hacker news & product hunt, onboarded 50+ teams, grown 0 to 1k MRR, and are scoping p
shared product terms: time, ve, last, since; shared affiliation: Y Combinator
Leena AI
match 54HR/IT/Finance professionals spend 50% of their time answering employees' questions and tickets. It’s even worse on the employee side, they have to wait for a long time for simple answers. We are live with 500 customers like Coca-Cola, Sony, Puma, Vodafone, Nestle, P&G, Airbnb, etc. We have raised over $40M from top VCs like Bessemer, Greycroft, Elad Gil, etc. Leena AI consumes company’s enterprise knowledge & starts answering all employee questions just like a human would. It can even answer com
shared product terms: 50, time, live, customer; shared product theme: sales and marketing; shared affiliation: Y Combinator
Spiral Genetics
match 46Spiral Genetics (YC W19) makes genomic data mining software to compare large populations of whole human genomes. Our customers are genetics testing companies, governments of countries, and pharma companies. We train our machine learning algorithms to enable large scale comparison of genomes to power novel discoveries, enabling new diagnostics and drugable targets.
shared product terms: train, human, customer, enable; shared product theme: sales and marketing; shared affiliation: Y Combinator
Polymath
match 44We’re heading towards a future where AI agents will be able to perform useful work over long horizons, with little or no human supervision. To increase the reliability, performance, and safety of autonomous agents, they must be trained in simulation environments that reflect the real world. Polymath builds simulated worlds for agents to practice and learn through experience. We're a team of researchers and engineers from UC Berkeley, Hume AI, Plaid, and Amazon. We have years of experience post-t
shared product terms: human, performance, train, environment; same category: AI agents; shared affiliation: Y Combinator
PipelineDB
match 41PipelineDB is an open-source PostgreSQL extension that enables realtime reporting use cases by continuously aggregating large streams of time series data down into summary data. It shines the most at larger scales, where storing lots of raw time-series data and aggregating it over and over again becomes inefficient. The amount of value that PipelineDB adds is directly proportional to the amount of continuous aggregation that an analytics use case can benefit from. PipelineDB should be used for a
shared product terms: enable, large, time, value; shared affiliation: Y Combinator
Tzuka Limited
match 24Tzuka manufactures workout earbuds than enable athletes to train without limits through unrivalled durability, underwater playback and 1k-song onboard storage for phone-free listening.
shared product terms: enable, train, onboard