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§ Private Profile · San Fransisco, CA, USA
Adaptive data transfer optimization for high-performance infrastructure, Berkeley CS founders. based in San Fransisco, California, United States of A...
Adaptive data transfer optimization for high-performance infrastructure, Berkeley CS founders.
Sparta is an intelligent data delivery layer that dynamically optimizes large-scale data transfers across clouds, clusters, and distributed systems. Modern AI workloads, streaming platforms, and high-throughput applications lose time and money to inefficient data movement. Static transfer settings fail under fluctuating network conditions, leading to idle GPUs, longer processing times, wasted bandwidth, and rising infrastructure costs. Sparta replaces fixed heuristics with a real-time reinforcement learning engine that continuously adapts based on live network signals. The result is faster transfers, better bandwidth utilization, lower energy consumption, and more predictable performance without requiring infrastructure rewrites. Designed as a drop-in layer that works on top of all existing storage and transfer tools, Sparta helps AI labs, media platforms, gaming companies, and cloud-native enterprises ensure that data delivery never becomes the bottleneck to performance or scale.
Sparta has raised $72.2M across 6 funding rounds.
Sparta has raised $72.2M in total across 6 funding rounds.
Sparta has raised $72.2M in total across 6 funding rounds.
Sparta's investors include One Peak, Antler, Felix Capital, FirstMark Capital, Point Nine Capital, Singular, Philippe Teixeira da Mota, Harold P. de Vladar, Henrik Torstensson, Johan Attby, Jonathan Forster.
Adaptive data transfer optimization for high-performance infrastructure, Berkeley CS founders.
Sparta is an intelligent data delivery layer that dynamically optimizes large-scale data transfers across clouds, clusters, and distributed systems. Modern AI workloads, streaming platforms, and high-throughput applications lose time and money to inefficient data movement. Static transfer settings fail under fluctuating network conditions, leading to idle GPUs, longer processing times, wasted bandwidth, and rising infrastructure costs. Sparta replaces fixed heuristics with a real-time reinforcement learning engine that continuously adapts based on live network signals. The result is faster transfers, better bandwidth utilization, lower energy consumption, and more predictable performance without requiring infrastructure rewrites. Designed as a drop-in layer that works on top of all existing storage and transfer tools, Sparta helps AI labs, media platforms, gaming companies, and cloud-native enterprises ensure that data delivery never becomes the bottleneck to performance or scale.
Sparta has raised $72.2M across 6 funding rounds. Most recently, it raised $42.0M Series B in February 2025.
| Date | Company | Round | Lead Investor(s) | Co-Investor(s) |
|---|---|---|---|---|
| Jan 28, 2013 | Ocular Therapeutix | $23.8M Series D Extension | — | Ascension Ventures, Polaris Partners, SV Health Investors, Versant Ventures |
| Date | Round | Lead Investors | Other Investors | Status |
|---|---|---|---|---|
| Feb 1, 2025 | $42M Series B | ONE Peak | Antler, Felix Capital, FirstMark Capital, Point Nine Capital, Singular, Philippe Teixeira DA Mota | Announced |
| Oct 1, 2023 | $18M Series A | FirstMark Capital | Antler, Felix Capital, Point Nine Capital, Singular, Philippe Teixeira DA Mota | Announced |
| Mar 25, 2022 | $6M Series A | Singular | — | Announced |
| Mar 1, 2022 | $6M Seed | Singular | Antler, Point Nine Capital | Announced |
| Feb 23, 2015 | $110K Venture Round | — | Harold P. DE Vladar, Henrik Torstensson, Johan Attby, Jonathan Forster | Announced |
| Feb 1, 2015 | $110K Seed | — | — | Announced |