Tero

What Tero does

Tero is an AI-powered observability intelligence platform that continuously reads production logs to identify waste, sensitive data exposure, and operational risk before they become costly problems. The platform connects read-only to the customer's existing observability stores — Datadog, Splunk, ClickHouse, S3, and OpenTelemetry-compatible pipelines — without requiring migration or pipeline rewrites. Its core products are an AI Log Analysis engine, a Telemetry Policies control plane (a standard donated to OpenTelemetry), and Tero Edge, a high-performance policy runtime built in Zig with Hyperscan/Vectorscan bindings that enforces drop, sample, redact, and transform policies at the edge before telemetry reaches the observability vendor.

Tero monetizes via a sales-led SaaS subscription with quote-based enterprise pricing, targeting engineering and platform teams at companies running Datadog, Splunk, or similar observability platforms who are struggling with high and growing observability costs. The company also offers a self-hosted deployment for buyers who cannot route telemetry to a third-party control plane, and open-sources key components (Policy Engine in Go, Tero Edge, Vector.dev) to build developer trust and ecosystem positioning. Founded in 2025 by Ben Johnson, creator of Vector.dev, and Nihar Singhal, the company draws its engineering team from OpenTelemetry maintainers and alumni of Datadog, Lightstep, and New Relic, and is currently privately held with 1-10 employees, based in California, and pursuing SOC 2 Type II certification.

Name

Tero

Legal name

Tero Edge, Inc.

Website

https://usetero.com

Company type

Private

Founded year

2025

Operating status

Operating

Headcount range

1–10 employees

Short description

Tero is an AI-powered observability intelligence platform that reads production logs to find waste, sensitive data, and operational risk, then turns findings into Telemetry Policies enforced via Tero Edge. It targets enterprise engineering and platform teams using Datadog, Splunk, and ClickHouse who need to reduce observability costs.

Ownership category

akta.pro rank

Product category

Observability Intelligence Platform

akta.pro primary industry

Privileged Access to Data & Database Activity Monitoring (DAM) (HDADAFAE)

Keywords

• Observability log analysis
• Telemetry cost optimization
• AI log intelligence
• Telemetry policy management
• Observability waste reduction

Headquarters

HQ city

California

HQ country

United States

HQ region

North America

Markets served

GTM type

B2B

Offering type

Software

Cost components

Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations

Revenue model

1. SaaS Subscription: Tero operates as a SaaS platform (Tero-hosted control plane) where customers pay for access to the AI log analysis, issue detection, and telemetry policy management capabilities. The product offers both Tero-hosted and self-hosted deployment options.

Pricing tiers

Go-to-market motion1 record

Distribution channels2 records

Marketing channels5 records

Core offering

Tero is an AI-powered observability intelligence platform that connects read-only to existing log stores (Datadog, Splunk, ClickHouse, S3) and proactively analyzes every production log to identify waste, sensitive data exposure, and operational risk before they become costly problems. Findings are converted into Telemetry Policies — reviewable, atomic, reversible production changes that drop, sample, redact, or route telemetry before storage — enforced by Tero Edge, a high-performance edge runtime deployed in customer infrastructure.

Product overview

Tero is an AI-powered telemetry control platform consisting of a core AI Log Analysis product and Telemetry Policies as the primary control mechanism. The platform connects read-only to existing observability infrastructure (Datadog, Splunk, ClickHouse, S3, OpenTelemetry) to identify waste, sensitive data, and operational risk in production logs. Tero Edge is a complementary high-performance policy runtime deployed in customer infrastructure that enforces Telemetry Policies before telemetry reaches observability providers. The platform is built by OpenTelemetry maintainers and includes open-source components (Policy Engine/Go, Edge proxy, Vector) alongside the hosted control plane.

Differentiator

Problem solved

Functional benefit

Brands

• Tero Edge: A telemetry policy runtime that runs in customer infrastructure and applies policies to telemetry before data reaches an observability provider.

Products and services

• Tero AI Log Analysis Proactive AI platform that continuously reads production logs to identify waste, sensitive data, and operational risk before they become costly problems. Connects read-only to existing log stores without migration or pipeline rewrites. Targeted at engineering and platform teams managing observability costs at enterprises using Datadog, Splunk, ClickHouse, or S3.
• Telemetry Policies Reviewable control-plane artifacts that define what telemetry to match and what action to take (drop, sample, redact, transform). Policies are atomic and reversible, and the standard has been donated to OpenTelemetry. Targeted at platform and engineering teams needing safe, auditable production telemetry changes.
• Tero Edge High-performance telemetry policy runtime deployed in customer infrastructure that applies Telemetry Policies before telemetry reaches observability providers. Built in Zig with Hyperscan for line-rate pattern matching. Supports Datadog, OTLP, Prometheus, Lambda, and Tail distributions. Targeted at enterprises enforcing policies at the edge of their telemetry pipeline.

Quantifiable outcome

• Cut log costs by 40% through waste identification
• +1 more outcomes

Segments2 records

Ideal customer profiles1 record

Technology focussed Yes

API detail

Has API

Yes

API docs

API detail

Core technology

AI maturity

App detail

Integration20 records

AI capability7 records

Feature4 records

Partnerships

Three partnerships are on record, tiered core.

• DatadogcoreTechnology or IntegrationTero connects read-only to Datadog logs and metrics. Tero Edge offers a Datadog-specific distribution that receives Datadog logs via the /api/v2/logs endpoint, applies policy-based filtering, and forwards to Datadog. Tero can also import Datadog exclusion filters as policies.
• SplunkcoreTechnology or IntegrationTero connects read-only to Splunk as one of the supported observability platforms. Splunk remains the system of record for telemetry while Tero analyzes and identifies optimization opportunities.
• OpenTelemetrycoreTechnology or IntegrationTero is created by OpenTelemetry maintainers. The Telemetry Policies standard has been donated to OpenTelemetry. Tero Edge includes an OTel dist and supports OTLP protocol. The company actively contributes to and maintains OpenTelemetry ecosystem projects.

Scale indicators3 records

Recent moves6 records

Expansion highlights5 records

Broad incumbents

• Splunk (Cisco): Major log analytics and observability platform that Tero connects to read-only. Splunk's pricing model is the canonical example of the volume-based cost pain Tero addresses, and it could ship competing optimization features.
• Datadog: Largest cloud observability vendor; Tero offers a Datadog-specific Edge distribution and reads from Datadog logs. Datadog's pricing and roadmap decisions directly shape Tero's opportunity and risk.
• Grafana Labs: Open-source observability stack (LGTM: Loki, Grafana, Tempo, Mimir) with strong OpenTelemetry alignment. Comparable as an OpenTelemetry-friendly platform alternative and a potential ecosystem partner or competitor.
• Sumo Logic: Established log analytics and observability platform with log management, monitoring, and security analytics. Competes in the same buyer category as Tero and could extend into waste/quality optimization.

Others

• Vector (Datadog open-source project): Telemetry pipeline project created by Tero's founder and now under Datadog. Relevant adjacent technology and founder lineage; Tero's open-source Edge and Policy Engine extend the same architectural lineage for control-plane use cases.

Direct peers

• Chronosphere: Cloud-native observability platform built around cardinality control and cost management. Closest direct comparison to Tero's thesis of proactively controlling observability spend for high-volume engineering teams.
• Mezmo: Log management and observability pipeline platform (formerly Loggly) with routing, transformation, and cost-control features for engineering teams. Comparable to Tero on telemetry cost optimization and pipeline control.
• Honeycomb: Observability platform for engineering teams focused on high-cardinality event data and faster incident debugging. Competes for the same platform-engineering buyer that Tero targets and overlaps on signal-quality positioning.
• Logz.io: Cloud-native log analytics and observability platform built on OpenSearch and Grafana, offering cost-tiering and observability pipelines. Comparable buyer (engineering/platform teams) and overlapping cost-optimization story.
• Coralogix: Observability and log analytics platform with cost-optimization features (TCO optimizer, data usage analytics). Comparable to Tero as an alternative to Datadog/Splunk focused on reducing telemetry spend for engineering teams.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks5 records

Key highlights6 records

Customer concentration

• Xx.com/usetero
• GitHubgithub.com/usetero
• LinkedInlinkedin.com/company/usetero

Compliance1 record

Revenue estimate

Valuation estimate

Number of profiles

Profiles2 records

Funding overview

Funding rounds1 record

Investors1 record

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Tero