Position in SVTR
Snapshot 2026-10-22- Startup SignalsRankedof 2,310↓39
- FintechRankedof 168↓6
About
Elastics, founded in 2025 in Warsaw, builds AI agents for prediction market trading that automate research, strategy formulation, execution, and portfolio management.
Full tier & rationale — an SVTR Intelligence benefit
Capital graph
Funding history
- 2026-05Pre-Seed$2M
Investors · Frst CapitalSource · SVTR Weekly #156 ↗
Comparable companies· by market
This company
BusinessLatest roundTotal raisedDate- Elastics
AI agents for prediction market trading
Pre-Seed · $2M · 2026-05
$2M
United States
BusinessLatest roundTotal raisedDate- Kairos
Prediction market trading terminal
Undisclosed · $3M · 2026-02
$3M - TBD
Prediction market: measuring and trading on "verifiable human sentiment/public opinion"
Seed · $6M · 2026-03
$6M - Nekuda
Online payment infrastructure for AI agents, managing payment credentials and authorization for secure automated transactions
Undisclosed · $5M · 2025-05
$5M
Europe
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AI due diligence and M&A workflow platform for renewable energy and data center infrastructure deals
Pre-Seed · 2026-09
— - Sparta Commodities
AI-driven platform that helps traders and analysts track and analyze global commodity markets in real time
Series B · $42M · 2025-03
$42M - BMLL
Historical market data and analytics from global exchanges, with granular Level 3 data tracking every order and trade
Undisclosed · $21M · 2024-10
$21M
Other / unspecified
BusinessLatest roundTotal raisedDate- Spring Labs
AI agents for financial institutions automating complaint handling, dispute resolution, documentation, reporting and compliance workflows
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$5M - Zest Equity
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$4M
Confirmed rounds only. Matched on subsector, sector, stage and funding scale — each verifiable on the company profiles.
Investors that may fit
Creandum
4 Fintech deals in the last 24 months · 3 at a nearby stage · 1 in Eastern Europe
Request intro →Ranked by each firm’s deals in this sector over the last 24 months, weighted by nearby stage and shared geography. Indicative only — no rating judgment.