Jellyfish

Boston has a habit of producing companies that understand systems, not just software. Jellyfish is cut from that cloth. Founded in 2017 by Andrew Lau, Philip Braden, and David Gourley, the team carried forward lessons learned while building Endeca, the enterprise search company Oracle acquired for more than $1B. Years inside high-growth engineering organizations taught them something uncomfortable but obvious: engineering drives product, revenue, and customer experience, yet the work itself often lives inside a fog of commits, tickets, and pipelines that business leaders struggle to interpret. Jellyfish was built to clear that fog and translate engineering activity into language executives and boards actually understand.

The Boston-based company operates as a layer above the tools developers already use, aggregating signals from version control systems, issue trackers, CI pipelines, and planning platforms. The result is a unified view of where engineering time and capital are actually going. That visibility is the core promise of Jellyfish’s Software Engineering Intelligence platform, a model increasingly discussed across the SaaS landscape as engineering organizations become one of the largest operational investments inside modern companies. Leaders want to know which initiatives are advancing, where execution risk is building, and how engineering work connects to revenue and strategy.

The timing of this model has become sharper with the surge of AI across development teams. Copilots, agents, and automation tools are landing inside repositories and workflows at a pace few executives can measure with confidence. Jellyfish positions itself as an AI Impact platform capable of tracking adoption, usage, and outcomes across engineering organizations without relying on isolated vendor metrics. In practical terms, the platform attempts to answer a question surfacing across boardrooms and budget meetings alike: if AI is accelerating development, where is that impact actually showing up.

Investors have leaned into that thesis. Jellyfish has raised more than $100M in venture funding, including a $71M Series C announced in January 2022 led by Accel, Insight Partners, and Tiger Global with participation from Wing Venture Capital. The capital helped the company expand across more than 500 organizations, including DraftKings, Keller Williams, and Blue Yonder. Those customers represent the kind of engineering-heavy companies where software development is no longer a cost center but a strategic engine, and where the demand for operational clarity across SaaS infrastructure continues to grow.

In December 2025, Jellyfish strengthened its commercial leadership by appointing Chris Ward as CRO. Chris Ward previously helped scale Vercel’s revenue from roughly $6M to nearly $300M while the company’s valuation climbed from $1.1B to $9.3B. Before that, Chris Ward spent close to a decade helping grow Turbonomic from an early-stage operation into a $2B acquisition by IBM. Bringing that kind of go-to-market experience into a company built around engineering intelligence signals a shift toward broader distribution and category expansion across the SaaS ecosystem.

Inside the product roadmap, the company is leaning toward AI-native experiences that move beyond static dashboards. One engineering leadership role describes a push toward agent-driven interfaces capable of reading engineering data and delivering guidance directly to decision makers. If that vision lands, Jellyfish does not just measure engineering work. It begins to interpret it in real time, turning engineering data into operational insight while the work is still unfolding. For companies where software velocity determines market position, that is the kind of signal leadership does not ignore.