About Us

Built by Engineers Who Felt the Pain of Invisible Dependencies

California, USA — Founded 2021

We Built the Tool We Wished We Had

ServiceChainGraph was founded in 2021 by a team of infrastructure engineers and site reliability engineers who had spent the preceding decade building and operating large-scale distributed systems at high-growth technology companies. In every environment they worked in, the same problem recurred: when something broke, no one had a clear, current picture of how services depended on each other.

The existing solutions — static CMDBs, hand-maintained topology diagrams, spreadsheets passed around during incidents — were always wrong by the time they mattered. The team began building a prototype during a particularly painful post-mortem process and realized the prototype was solving a problem that every engineering organization with more than a dozen services was facing daily. ServiceChainGraph grew from that prototype into the platform it is today.

Founding team whiteboard session sketching early dependency graph model

Our Mission

Our mission is to make infrastructure dependencies transparent, queryable, and actionable for every engineering team — regardless of stack complexity. We believe that the knowledge of how your systems are connected should be automatic, continuous, and available to the right person at the right moment: when a change is being reviewed, when an incident is unfolding, when a compliance auditor asks a question, or when a cost reduction initiative requires understanding which services are actually critical to production.

Dependency knowledge should not live only in the heads of your most senior engineers. It should live in a graph that every team member can query, and that every process — from CI/CD pipelines to incident runbooks — can consume programmatically. That is what we are building.

Engineering Values

Accuracy Over Speed

A dependency graph that is 80% accurate is worse than no graph — it trains teams to trust the wrong information. Every engineering decision we make prioritizes the precision of the graph model over the speed of adding new features. We ship slowly on detection; we ship quickly on UI and integrations.

Minimal Footprint

Observability tools that impose meaningful overhead on production systems are a security and reliability liability in their own right. Our collectors are designed to have the smallest possible CPU, memory, and network footprint, so that the platform never becomes the dependency your teams worry about most.

Open by Default

The dependency model we build for your infrastructure should be accessible from any system that needs it. That is why every plan includes API access, webhook support, and standard data export formats. We do not lock your graph data inside our UI — it belongs to your engineering organization and should flow freely to every tool that benefits from it.

Key Milestones

2021

Founded

ServiceChainGraph founded by a team of infrastructure engineers with over a century of combined experience building distributed systems at scale. Alpha release to select customers in Silicon Valley and New York.

2022

Series A Funding

Raised $12M in Series A funding from Sequoia Capital and Bessemer Venture Partners. Expanded team to 35 people across engineering, product, and customer success. Announced public beta and reached 50+ customer deployments.

2023

General Availability & Series B

Launched general availability (GA) release with enterprise SLAs and compliance certifications (SOC 2 Type II, ISO 27001). Closed $35M Series B led by Accel Partners, bringing total funding to $47M. Customer base grew to 200+ organizations across fintech, healthcare, SaaS, and cloud infrastructure.

2024

AI Integration & Market Expansion

Launched AI Traffic Flow Analysis capabilities to track LLM and embedding service dependencies. Expanded into APAC and EMEA markets. Reached $500K+ annual revenue run-rate and 500K+ nodes mapped across all customer graphs combined.

2025

Platform Expansion

Released Webhooks API for real-time dependency change events, enabling two-way integrations with incident management and ticketing systems. Launched CLI tool for local dependency analysis. Customer satisfaction score (NPS) exceeded 70.

A Team of Infrastructure Veterans and First-Time Founders

Our team combines deep expertise in distributed systems, observability, and infrastructure engineering with a scrappy startup mentality. We have collectively built graph databases at Facebook, incident response systems at Google, microservice platforms at Netflix, and observability tools at Datadog, Splunk, and New Relic. We bring not just technical depth but also empathy for the on-call engineers and infrastructure teams who live and die by the accuracy and usability of their tools.

We are distributed across California, New York, and London, working asynchronously and shipping continuously. Every team member spends at least one week per quarter on-call rotating through customer deployments to stay grounded in real infrastructure problems. We do not have a pure sales team — engineers speak with customers daily.

Team collaboration during a product planning session

Built on Trust and Transparency

Your Data, Your Rules

Your dependency graph is yours. We do not sell your data, train models on your infrastructure topology, or use your data for competitive insights. Every data export is available on demand. You can revoke our access at any time.

On-Premises Ready

For organizations with strict data residency requirements, we offer self-hosted deployments. Our collectors run within your VPC with zero egress to our cloud. The dependency graph stays in your account.

Always Available SLA

Our platform SLA is 99.9% uptime. During incidents affecting your infrastructure, our platform is guaranteed operational. We do not go down when you need us most. Financial credits apply if we miss SLA targets.