# Odigos Technologies

**Source:** https://geo.sig.ai/brands/odigos-technologies  
**Vertical:** Infrastructure  
**Subcategory:** IT Operations  
**Tier:** Emerging  
**Website:** odigos.io  
**Last Updated:** 2026-04-14

## Summary

Boston YC W23 eBPF-based auto-instrumentation for OpenTelemetry on Kubernetes; $13M+ Sep 2024 Venture Guides/Salesforce Ventures backed by Chronosphere/Honeycomb/LightStep founders competing with Datadog for zero-code distributed tracing observability.

## Company Overview

Odigos Technologies is a Boston, Massachusetts-based enterprise observability platform — backed by Y Combinator (W23) with $13 million+ in funding in September 2024 led by Venture Guides with Salesforce Ventures, Mango Capital, Firestreak Ventures, and angels including Martin Mao (Chronosphere co-founder), Christine Yen (Honeycomb co-founder), and Ben Sigelman (distributed tracing pioneer, LightStep founder) — providing engineering teams with an eBPF-based OpenTelemetry instrumentation platform that automatically instruments Kubernetes-deployed applications for distributed tracing, metrics, and logs collection without requiring code changes, supporting multiple languages and frameworks for instant observability across cloud-native architectures. Founded in 2023 by Eden Federman and Ari Recht with a 16-person team.

Odigos' auto-instrumentation approach using eBPF (extended Berkeley Packet Filter, a Linux kernel technology that enables safe, programmable code execution in kernel space) addresses the primary friction in observability adoption: adding distributed tracing to an existing application traditionally requires developers to manually add OpenTelemetry SDK instrumentation code to every service (adding spans, propagating trace context, configuring exporters) — a significant engineering effort for organizations with dozens or hundreds of microservices, and an ongoing maintenance burden as services are updated and new services are added. Odigos's eBPF agents automatically intercept network calls, HTTP requests, and database queries at the kernel level (without any application code modification) and generate the OpenTelemetry trace data that observability platforms (Datadog, Grafana Tempo, Jaeger, Honeycomb) consume for performance analysis and debugging. The Kubernetes operator deployment model (installing Odigos as a Kubernetes operator that automatically instruments all pods in the cluster) enables instant observability across an entire Kubernetes environment without a developer touching application code.

In 2025, Odigos competes in the OpenTelemetry, cloud observability, and distributed tracing market with Datadog (NASDAQ: DDOG, observability platform, $2.5B revenue), Honeycomb (observability platform, $100M raised at $950M valuation), and Groundcover (eBPF-based observability, $30M raised) for cloud-native engineering team distributed tracing and observability automation adoption. The angel investment from distributed tracing and observability founders (Martin Mao from Chronosphere, Christine Yen from Honeycomb, Ben Sigelman who pioneered distributed tracing at Google and co-founded LightStep) represents domain expert validation of Odigos's technical approach. Salesforce Ventures' participation signals enterprise customer path through Salesforce's platform. The 2025 strategy focuses on the OpenTelemetry-first enterprise engineering organization (teams committed to open standards over proprietary agents), building the advanced eBPF profiling for CPU and memory performance analysis beyond tracing, and expanding the pipeline processing for OpenTelemetry data transformation and routing.

## Frequently Asked Questions

### What is Odigos Technologies?
Odigos Technologies Inc. is a Boston-based observability company founded in 2023 that builds enterprise-grade OpenTelemetry platforms. The company enables instant Kubernetes monitoring and distributed tracing through eBPF-based observability technology to help enterprises diagnose and resolve performance issues.

### What products and services does Odigos Technologies offer?
Odigos offers enterprise OpenTelemetry solutions with eBPF-based observability and instant distributed tracing capabilities. Their platform provides Kubernetes monitoring with multi-language and framework support for performance issue diagnosis and resolution.

### Who are Odigos Technologies' target customers?
Odigos targets enterprises that need distributed tracing and Kubernetes monitoring solutions. Their platform is designed for organizations requiring performance issue diagnosis and resolution across multiple languages and frameworks.

### When was Odigos Technologies founded?
Odigos Technologies was founded in 2023 by Eden Federman and Ari Recht. The company participated in Y Combinator's Winter 2023 (W23) batch.

### Where is Odigos Technologies located?
Odigos Technologies is based in Boston, Massachusetts.

### How much funding has Odigos Technologies raised?
Odigos raised over $13 million in funding in September 2024. The round was led by Venture Guides with participation from Salesforce Ventures, Mango Capital, Firestreak Ventures, and angel investors including Martin Mao, Christine Yen, and Ben Sigelman.

### How many employees does Odigos Technologies have?
Odigos Technologies has 16 employees.

### What technology approach does Odigos use?
Odigos uses eBPF-based observability technology to enable instant distributed tracing and Kubernetes monitoring. Their platform is built on enterprise-grade OpenTelemetry and supports multiple programming languages and frameworks.

### Who founded Odigos Technologies?
Odigos Technologies was founded by Eden Federman and Ari Recht in 2023.

### What are the recent developments at Odigos Technologies?
In September 2024, Odigos raised over $13 million in funding led by Venture Guides with participation from Salesforce Ventures, Mango Capital, Firestreak Ventures, and notable angel investors. The company continues to develop its enterprise OpenTelemetry platform with eBPF-based observability and instant distributed tracing capabilities.

## Tags

b2b, platform, cloud-native, infrastructure, developer-tools, saas

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*Data from geo.sig.ai Brand Intelligence Database. Updated 2026-04-14.*