Tero
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.
- Company typePrivate
- Founded2025
- HeadquartersCalifornia, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
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.
Tero firmographics
Firmographics- 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
Tero industry classification
Industry- Product category
- Observability Intelligence Platform
- akta.pro primary industry
- Privileged Access to Data & Database Activity Monitoring (DAM) (HDADAFAE)
Keywords
Where Tero is headquartered
LocationHeadquarters
- HQ city
- California
- HQ country
- United States
- HQ region
- North America
Markets served
Tero business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Personnel, Technology or R&D, Marketing or Sales, Infrastructure, Operations
Revenue model
- 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
| Model | Billing | Price |
|---|---|---|
| Subscription | Annual | Quote-based enterprise pricing |
Go-to-market motion1 record
Distribution channels2 records
Marketing channels5 records
Tero product offering
Product offeringCore 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
Companies that use Tero
Customer profileSegments2 records
Ideal customer profiles1 record
Tero technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration20 records
AI capability7 records
Feature4 records
Tero partnerships and signals
Strategic signalPartnerships
Three partnerships are on record, tiered core.
- DatadogcoreTero 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.
- SplunkcoreTero 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.
- OpenTelemetrycoreTero 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
Tero competitors and assessment
Company assessmentBroad 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
Tero social profiles
Digital presenceTero compliance and trust
Trust signalCompliance1 record
Tero financial estimates
Financial estimateRevenue estimate
Valuation estimate
Tero leadership team
Management profileNumber of profiles
Profiles2 records
Tero funding detail
Funding detailFunding overview
Funding rounds1 record
Investors1 record
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Tero M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Tero
What does Tero do?
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.
Is Tero a public or private company?
Tero is a private company. It is classified as venture growth investor backed and is currently operating.
When was Tero founded?
Tero was founded in 2025. It employs 1 to 10 people.
Where is Tero based?
Tero is headquartered in California, United States, in the North America region.
How does Tero make money?
One revenue line is on record: saaS Subscription.
Who are Tero's main competitors?
Broad incumbents on record are Splunk (Cisco), Datadog, Grafana Labs and Sumo Logic. Vector (Datadog open-source project) is listed as an others. Direct peers are Chronosphere, Mezmo, Honeycomb, Logz.io and Coralogix.
Does Tero have an API?
Yes. Tero offers an HTTP policy sync API at /v1/policy/sync for programmatic policy management. OpenAPI specification available at docs.usetero.com/api-reference/openapi.json. The API supports integration with observability providers (Datadog, Splunk, ClickHouse) for exclusion filters and routing rules via provider APIs. Edge distributions expose Prometheus metrics at GET /_edge/metrics for runtime monitoring. Developer documentation is at docs.usetero.com/api-reference/openapi.json.
What industry is Tero in?
Tero's product category is Observability Intelligence Platform. Its primary akta.pro industry code is HDADAFAE, Privileged Access to Data & Database Activity Monitoring (DAM).