Dovetail vs Modal
Side-by-side comparison of AI visibility scores, market position, and capabilities
$69.37M funding; $965M valuation; 181 employees; Accel backed Series A $63M; AI-first insights hub; founded 2017 Sydney; customer research platform leader
About
Dovetail is an AI-first customer and user research platform founded in 2017 in Sydney, Australia by Benjamin Humphrey and Bradley Ayers, two former Atlassian employees. The company was built on the premise that qualitative research insights — interviews, usability tests, support conversations, surveys — were trapped in scattered documents and videos, inaccessible to the broader product team. Dovetail was created to make those insights searchable, shareable, and actionable at scale.\n\nThe platform allows research and product teams to upload interview recordings, transcripts, survey responses, and field notes, then apply AI-assisted tagging, clustering, and summarization to surface themes and patterns. Highlights can be clipped from video and linked to insights, creating a living repository of customer evidence that any team member can query. Dovetail integrates with Zoom, UserTesting, Figma, Confluence, Jira, and Slack, embedding research findings into existing product workflows. The platform is used by product managers, UX researchers, designers, and customer experience teams at technology companies worldwide.\n\nDovetail has raised $69.37 million in total funding, including a $63 million Series A led by Accel, and reached a $965 million valuation. The company employs approximately 181 people and serves thousands of teams globally. Its AI-native approach to synthesizing qualitative data — reducing research analysis time from days to hours — positions Dovetail as the category leader in the emerging insights-hub 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
Capabilities & Ecosystem
Capabilities
Also Compare
Track AI Visibility in Real Time
Monitor how your brand performs across ChatGPT, Gemini, Perplexity, Claude, and Grok daily.