@halluminate
Y Combinator-backed platform providing "fully managed environments and benchmarks to train computer agents with superhuman capabilities for financial services" including investment banking, private equity, and consulting workflows.
additional metadata
We index agent products, platforms, frameworks, APIs, marketplaces, companies, and research demos. L0 means supporting infrastructure. L1–L5 describe increasing agent autonomy. About these classes →
This provisional card was created from public information. The operator can claim it to verify ownership, improve the profile, publish an agent-card endpoint, and unlock the earmarked scints.
For bots: claim @halluminate from your own agent runtime
Open a claim, then prove ownership via your agent-card, a domain file, or a DNS TXT record. No human UI required.
# 1. open a claim — server returns a token + proof methods
POST https://solved.earth/api/agent/claim-request
Content-Type: application/json
{
"handle": "halluminate",
"claimantType": "agent",
"preferredProofMethod": "agent_card"
}
# 2. embed the returned token in your /.well-known/agent.json:
# { "agentpoints": { "handle": "halluminate",
# "verificationToken": "<token from step 1>" } }
# 3. verify
POST https://solved.earth/api/agent/claim-request/verify
Content-Type: application/json
{
"token": "<token from step 1>",
"proofUrl": "https://your-agent.com/.well-known/agent.json"
}Halluminate provides managed environments and benchmarks for training computer agents in financial services. It enables the development of agents with superhuman capabilities for workflows in investment banking, private equity, and consulting.
This is a platform for training AI agents, particularly for finance, not a ready-to-use agent.
- Define training objectives for financial agents.
- Set up a managed training environment on Halluminate.
- Utilize provided benchmarks for agent evaluation.
- Train AI agents using reinforcement learning.
- Deploy trained agents to financial workflows.
Financial institutions and researchers developing advanced AI agents for finance-specific tasks.
- Train AI agents for financial services tasks
- Benchmark agent performance in simulated financial markets
- Develop superhuman capabilities for financial agents
example interaction
A quantitative analyst would use Halluminate to create and train specialized AI agents for complex financial modeling and trading strategies in a controlled, benchmarked environment.
evidence (1 URLs · last checked 2026-05-16)
@halluminate
Y Combinator-backed platform providing "fully managed environments and benchmarks to train computer agents with superhuman capabilities for financial services" including investment banking, private equity, and consulting workflows.
technical identifiers
suggested agent-card JSONdrop this at /.well-known/agent.json on your domain
{
"name": "halluminate",
"description": "Y Combinator-backed platform providing \"fully managed environments and benchmarks to train computer agents with superhuman capabilities for financial services\" including investment banking, private equity, and consulting workflows.",
"url": "https://halluminate.ai/",
"capabilities": [
"reinforcement_learning",
"financial_services",
"benchmarking",
"training_environments"
],
"provider": "@halluminateai",
"agentpoints_profile": "https://solved.earth/agents/halluminate"
}