DeepTempo
A seed-stage San Francisco startup running a deep-learning log model natively inside Snowflake.
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DeepTempo, founded in 2023 and based in San Francisco, is a seed-stage detection startup whose Tempo app runs natively in Snowflake, applying deep learning directly to log data to detect anomalies and MITRE ATT&CK-mapped attack patterns without a separate security data pipeline.
Its agentless LogLM runs inside the customer’s existing data warehouse rather than as a standalone SIEM, reducing data movement, though it is still early in proving efficacy at scale.
Innovation Matrix Assessment
Applying deep learning natively inside a data warehouse (Snowflake) for agentless log anomaly detection is a genuinely novel architectural approach.
Still a very early-stage company (roughly 23 employees) with limited publicly documented enterprise deployments.
Recognized in Cyber Defense Media Group's 2025 Global InfoSec Awards (1 award); backed by a notable investor group including Bank of New York Mellon-linked programs.
Data-warehouse-native, agentless threat detection is a structurally different delivery model than traditional SIEM/agent-based approaches.
Too early-stage for independently verified detection-accuracy data; claims are currently vendor and partner (Snowflake) sourced.
AI-driven log analysis and anomaly detection address a persistent SOC pain point (alert volume, data silos) likely to remain relevant.
Why CISOs Should Care
DeepTempo's Tempo app runs natively in Snowflake to apply deep learning directly to log data, helping CISOs detect anomalies and MITRE ATT&CK-mapped attack patterns without standing up a separate data pipeline for security telemetry.
What Makes It Different
Rather than building a standalone SIEM, DeepTempo delivers an agentless LogLM that runs inside the customer's existing Snowflake data warehouse, reducing data-movement overhead and letting security teams work where their log data already lives.
The Matrix Verdict
55/100 — INCREMENTAL INNOVATOR
A technically distinctive, early-stage AI detection startup with a novel data-warehouse-native architecture, though still small and early in proving efficacy at scale.
Editorial Note: Claims vs. Verified Findings
The November 2023 founding, San Francisco headquarters, and Snowflake Marketplace launch are independently reported by SiliconANGLE and Blocks & Files; detection-accuracy and performance claims are vendor-stated.
Sources
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