Head-to-Head
Pensero vs Jellyfish
Same problem. Different approach.
Jellyfish measures activity while Pensero focuses on understanding the complexity and magnitude of the problem behind your code.
How do they differ?
Built for different questions
Jellyfish helps you understand engineering investment allocation. Pensero helps you understand whether that investment is producing meaningful output.
| Feature | Pensero | Jellyfish |
|---|---|---|
| AI adoption and usage trackingJellyfish tracks adoption and agent sessions; Pensero ties them to value | Yes | Yes |
| AI spend and token cost trackingJellyfish manages token cost; Pensero shows cost per delivered point | Yes | Yes |
| Delivered output weighted for size and complexity | Yes | No |
| Humans, AI-assisted engineers and agents on one scale | Yes | No |
| Cost per unit of delivered work | Yes | No |
| Cross-company benchmarksJellyfish benchmarks productivity; Pensero benchmarks delivered value | Yes | Yes |
| Next moves pinpointed from your dataJellyfish shares power-user tips; Pensero says which work moves to agents | Yes | Yes |
| Level on the 5 levels, measured from delivery data | Yes | No |
| Forward-deployed engineers and transformation program | Yes | No |
What is the main difference between Pensero and Jellyfish?
Jellyfish is commonly used to understand engineering investment allocation. Pensero focuses on whether that investment is converting into meaningful, complexity-aware delivery outcomes.
Can Pensero show actual delivery value, not just investment allocation?
Yes. Pensero scores each unit of work by its complexity and magnitude, then connects that to quality outcomes so leaders can see whether a given piece of delivery was actually hard and valuable, not just whether it shipped. This is the layer underneath what most allocation and capitalization tools report at the team or initiative level.
Does Pensero include board-ready performance reporting?
Yes. Pensero supports objective reporting for executive and board conversations, including delivery, quality, benchmarking, and AI impact signals.
How does Pensero handle AI measurement compared with Jellyfish?
Pensero emphasizes AI delivery value, quality/rework impact, and agent performance accountability. This supports ROI and risk discussions beyond simple AI code share.
Can Pensero measure non-code engineering contribution?
Yes. Pensero pulls in tickets, messages, documents, and conversations alongside code, so leaders can evaluate contribution across roles and collaboration patterns not just PRs or commits.
When should a team choose Pensero over Jellyfish?
Choose Pensero when you need calibration-grade, complexity-weighted performance data at the individual and work-item level — a layer Jellyfish's rollups and financial reporting aren't built to go down to. Teams making staffing, promotion, or performance decisions get more defensible evidence from that granularity than from allocation or investment views alone.
Engineering teams already measuring with Pensero
“And the best part: it was truly plug-and-play — we were live in just one day.”
Jean-François LegourdCo-founder, Elfie 
“Pensero gives me daily peace of mind.”
Jose-Luis VilarCo-founder and CPTO, Caravelo 
“With Pensero we go 4x faster.”
Andrew EyeCEO and Founder, ClosedLoopRead story → 
“Finally a tool that truly increases velocity.”
Nick TraylorHead of Engineering, StordRead story → 
“Pensero is my compass for knowing where the team is headed.”
Jordi MiróCTO, ZynapRead story →
Pensero proves engineering value and AI impact
Objective visibility into every engineering contribution.
AI Transformation
Track AI adoption, productivity impact, quality outcomes, and cost efficiency to prove the true business value of AI across engineering teams.
Learn more →Delivery Intelligence
Provides real-time visibility into engineering output, delivery flow, and strategic alignment to ensure teams are shipping high-value work efficiently and without bottlenecks.
Learn more →Talent & Benchmarking
Uses objective performance data and industry benchmarks to evaluate teams, compare cohorts, and support better talent and leadership decisions.
Learn more →Code Quality
Measures code health, review effectiveness, defect trends, and technical debt to improve software quality and maintain strong engineering standards.
Learn more →Financial Reporting
Delivers finance-ready engineering reports that track CapEx, R&D capitalization, and project cost allocation for audit compliance and executive decision-making.
Learn more →
- Human-authored
- AI-assisted
- AI-augmented review
- Orchestrated agents
- Autonomous agents
- Human-authored
- AI-assisted
- AI-augmented review
- Orchestrated agents
- Autonomous agents
- AI-assisted cost
- Agentic cost
- No usage
- Included in plan
- Low
- Moderate
- High
- Very high
- AI-assisted devs
- Agentic only
- Not AI-assisted
- Agentic users
- Non-agentic users
Pensero integrations
Go beyond code: understanding performance requires a 360° assessment
Your entire delivery stack, translated into comparable signals.
Explore all integrations →- GitHub
- GitLab
- Bitbucket
- Azure DevOps
- GitHub Copilot
- Cursor
- Claude Code
- Gemini Code Assist
- OpenAI Codex
- LiteLLM
- Devin
- SonarQube
- Jira
- Linear
- YouTrack
- GitHub Projects
- Confluence
- Notion
- Google Drive
- Slack
- Microsoft Teams
- Google Chat
- Google Calendar
- Microsoft 365 Calendar
- Okta
How it works
Get started in minutes. See insights in hours.
Connect your stack. See months of history from day one.
1 hour
Connect & Structure
Integrates repositories, tickets and messages automatically so AI can break work into measurable units, giving your team a unified, transparent view of everything delivered.
1 day
Analyze & Detect
Surface delivery vs roadmap gaps, AI contribution patterns, and execution insights so bottlenecks and early performance drag become visible through evidence-based reviews.
1 week
Report & Decide
Establish a single source of execution truth with team-level and AI vs human performance comparisons, enabling board-ready reporting and confident, scalable capital decisions.