Sisense vs Modal
Side-by-side comparison of AI visibility scores, market position, and capabilities
NYC embedded analytics and BI unicorn at $184.8M 2024 revenue (+32% YoY) with 2,000+ customers (eBay/UiPath/Wix); $274M total (Series F 2020 $1B+ valuation) with Sisense Intelligence GenAI competing with Looker for embedded SaaS analytics.
About
Sisense is a New York City-based embedded analytics and business intelligence platform — backed with $274 million in total funding with unicorn status ($1 billion+ valuation) achieved in January 2020 Series F — providing approximately 2,000 enterprise customers with AI-powered analytics tools for embedded BI (the analytics SDK that SaaS companies embed in their products for customer-facing reporting) and internal business intelligence for non-technical business users. In 2024, Sisense reported $184.8 million in revenue (up from $140 million in 2023). The platform — comprising Fusion Embed (white-label embedded analytics), Compose SDK (developer API for custom analytics applications), and Sisense Cloud (hosted BI platform) — serves enterprise customers including eBay, UiPath, Wix, Tinder, Philips, and Nasdaq. In 2024, Sisense launched Sisense Intelligence (GenAI analytics suite including AI-generated explanations and forecasting features). The company experienced a significant data breach in April 2024 and implemented workforce reductions in 2022 and 2024. Founded in 2004 in Tel Aviv, Israel.
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).
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