Jellyfish Software Engineering Intelligence Platform
Jellyfish · Intelligence & Research
Certification per AWS Marketplace.
Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
AWS Private Offers available. Contact us at aws@jellyfish.co to get started.
Jellyfish is the Software Engineering Intelligence Platform that answers the question of whether AI investments are delivering the expected business impact, connecting AI tool usage to real engineering outcomes so R&D leaders can see what's actually moving the needle and make confident decisions about where to invest next. More than 1000 companies including DraftKings, Box and Blue Yonder, use Jellyfish to align engineering work with business priorities and ship higher-impact software predictably.
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Jellyfish passively ingests signals from across your SDLC and AI tooling, source control, issue trackers, CI/CD, cloud infrastructure, and AI coding assistants, and turns them into a coherent intelligence layer for engineering leadership. You get purpose-built AI Impact dashboards that track adoption and utilization of tools like AWS Kiro and Cursor, measure AI-assisted pull requests, and connect before/after productivity changes to real outcomes: cycle time, deployment frequency, defect rates, and delivery predictability.
This works across software engineering, DevOps, SRE, and infrastructure teams moving beyond ticket velocity to show where engineering effort is going, how work is flowing, and which AI investments are paying off. Engineering leaders get the data to prove ROI to finance and the board. Platform and DevEx teams get the evidence to rationalize tool spend, benchmark impact across cohorts, and make the case for what to double down on, or cut.
Beyond AI impact, Jellyfish gives R&D leaders a unified view of investment allocation, delivery health, and developer experience across every team and product area so that engineering and business leadership share a single, data-backed picture of performance and risk.
Built entirely on AWS and delivered as a multi-tenant SaaS, Jellyfish leverages AWS AI services including Amazon Bedrock (for chat and agentic experiences) and Amazon SageMaker (for intelligent work classification), alongside core AWS infrastructure services, to provide secure, scalable analytics for modern engineering organizations. By tying usage and spend on AWS Kiro, Bedrock-powered assistants, and other AI tools to engineering productivity, quality, and business outcomes, Jellyfish gives AWS customers the data they need to prove ROI and deliver stronger business outcomes from their AI and cloud investments.
Highlights
Highlighted by the publisher on AWS Marketplace.
Measure how AI affects productivity, speed, and quality to invest confidently in what works
Combine system data and developer feedback to spot bottlenecks and improve focus, flow, and team performance
Build a consistent metrics strategy grounded in DORA and SPACE to benchmark trends and report outcomes
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Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
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Refund terms
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Sources
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4 linksLinked repositories
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