SteelEye vs Modal
Side-by-side comparison of AI visibility scores, market position, and capabilities
Trade surveillance and compliance monitoring platform for financial services, London UK, raised $25M+. Covers MiFID II, EMIR, and communications surveillance requirements.
About
SteelEye is a London, United Kingdom-based regulatory technology company founded in 2017 that provides a cloud-native trade surveillance, communications monitoring, and regulatory reporting platform for financial services firms. The company has raised over $25 million and serves broker-dealers, investment managers, and trading firms primarily in the UK and Europe, helping them meet the compliance obligations imposed by MiFID II, EMIR, MAR (Market Abuse Regulation), and related UK FCA requirements.\n\nSteelEye's platform aggregates trading data and communications — including voice, email, chat, and instant messaging — into a unified data environment that supports surveillance, investigation, and regulatory reporting workflows. The system applies behavioral analytics and rule-based alerts to detect potential market abuse, front-running, spoofing, and other prohibited trading behaviors across equities, fixed income, and derivatives markets. Compliance teams use SteelEye's investigation workflow tools to review alerts, document findings, and escalate cases.\n\nThe company differentiates from legacy trade surveillance incumbents through its cloud-native architecture, which offers faster deployment, lower total cost of ownership, and more flexible data ingestion than on-premise surveillance systems. SteelEye's communications surveillance capability is increasingly important as regulators scrutinize off-channel communications and messaging app usage by traders. The company competes with NICE Actimize, Nasdaq Surveillance (formerly Smarts), and Behavox in the trade surveillance and market conduct monitoring market.
Serverless GPU cloud platform for AI/ML with Python-native deployment and per-second billing; developer-favorite scaling from zero competing with Replicate and Beam for AI compute.
About
Modal is a serverless cloud computing platform purpose-built for AI and machine learning workloads — providing on-demand GPU compute that scales instantly from zero with per-second billing, container management, distributed training support, and a Python-native developer experience that makes running ML workloads in the cloud feel as simple as running code locally. Founded in 2021 in New York City and backed by Redpoint Ventures and other investors, Modal has grown rapidly as AI development has accelerated demand for flexible, developer-friendly GPU infrastructure.\n\nModal's developer experience is its primary differentiator — engineers write Python functions decorated with @modal.function() and deploy them to the cloud with a single command, with Modal handling container building, GPU provisioning, auto-scaling, and execution. The platform supports training jobs that need distributed compute across multiple GPUs, model serving endpoints that scale to zero when unused (eliminating idle GPU costs), and batch inference jobs that process large datasets. The per-second billing model means developers pay only for actual compute time, not provisioned instances.\n\nIn 2025, Modal competes in the AI infrastructure market with Replicate, Beam, Banana, and major cloud providers' managed ML services (AWS SageMaker, Google Vertex AI, Azure ML) for serverless GPU compute. The market for AI-specific cloud infrastructure has grown dramatically as the number of ML engineers deploying models to production has expanded — traditional cloud providers require significant DevOps expertise to use GPU instances effectively, while Modal's Python-native approach reduces the barrier to entry. Modal has attracted a strong developer following among AI researchers and ML engineers building production AI applications. The 2025 strategy focuses on growing the developer community, adding enterprise features (dedicated GPU capacity, private networking, compliance), and expanding the hardware options available (H100 GPUs, custom accelerators).
AI Visibility Head-to-Head
Key Details
Capabilities & Ecosystem
Capabilities
Integrations
Also Compare
Track AI Visibility in Real Time
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.