Prove AI’s return. Across every team, engineer and agent.

Larridin measures developer productivity and agent effectiveness from your code, CI/CD, incidents and coding agents. It tracks every AI dollar in the company, and its router starts cutting token spend right away.

Try Larridin How Larridin compares with Jellyfish

Every teamEngineering, sales, support, finance
People and agentsDevin, Claude Code, Codex, Cursor
Spend tracked, then cutThe right model for every prompt

Larridin Token and Spend Insights: all-in AI spend split across agent usage, human usage and fixed licences

Larridin AI ROI: AI spend, hours returned per week and return on AI spend, with hours by department

Side by side

Larridin vs Jellyfish at a glance

Jellyfish maps engineering work to business investment and added AI modules in 2025. Larridin starts from AI: the human and agent workforce, the spend behind it, and the teams outside engineering.

“Not shown” means we found no public evidence either way. Every claim links to a source at the foot of this page.

Larridin vs Jellyfish capabilities
Capability	Larridin	Jellyfish
Scope
Measures AI across the whole companySales, support, finance and every other team	Yes	No Engineering only
AI spend outside engineeringChatGPT Enterprise, M365 Copilot, Gemini and business agents	Yes	No
Workforce
Developer productivity and SDLC telemetryVersion control, CI/CD and project management	Yes	Yes
Agents measured alongside engineersDevin, Claude Code, Codex, Cursor and more	Yes	Yes Agent insights since Nov 2025
Reliability, incidents and alertsIncident, on-call and alerting systems	Yes	Not shown
Spend and action
Engineering AI token spendBy team, tool, model and agent	Yes	Yes Token spend dashboard
Intelligent model routerSends each prompt to the right model automatically	Yes	No
Platform
Built AI-firstDesigned for AI-native engineering from day one	Yes	No Founded 2017, AI added in 2025
PricingAs published or reported	From $25,000 a year Annual enterprise contract	Not published About $30K to $100K+ a year (Vendr)

Where Larridin goes further

Built for AI-native work, across the whole company

AI’s return across every team, not only engineering

Engineering is often around 15% of headcount. Larridin measures AI use, time saved and outcomes in sales, support, finance and every other team, next to engineering, so the CFO sees one answer.

Compared with Jellyfish: Jellyfish measures engineering only.

Larridin department leaderboard: AI adoption, fluency, hours returned per week and cost per AI hour for every department

Engineers and agents, measured as one workforce

Larridin reads Devin, Claude Code, Codex and Cursor next to version control, CI/CD, incidents and alerts. You see where work stalls across the SDLC and which fixes speed up people and agents alike.

Compared with Jellyfish: Jellyfish tracks agent pull requests. Its public materials show no incident or reliability data.

Larridin Agent Traces: coding-agent sessions scored on one rubric, with the evidence behind each score

Every AI dollar tracked, then cut

See spend by team, tool, model and agent, reconciled to invoices. The Larridin router sends each prompt to the right model automatically, so token savings start right away.

Compared with Jellyfish: Jellyfish reports engineering token spend and has no model router.

Larridin Router impact: dollars saved against pinned cost, and where AI coding work ran

Larridin routerlast 3 prompts

Refactor the auth middlewarefrontier
Rename a variable across filessmall
Summarise this pull requestsmall

Pricing

One contract instead of three

Most teams stitch together an engineering intelligence tool, an AI spend tool and a model router, and still can’t see beyond engineering.

Engineering intelligence: Jellyfish: not published
AI spend and FinOps across the company: A separate tool
Intelligent model router: Not offered by Jellyfish

Larridin

From $25,000 a year

Annual enterprise contract. Developer productivity, agent effectiveness, AI spend and the router, for engineering and every other team.

Get pricing

Trusted by AI-forward enterprises

Enterprise ready

SOC 2: Type II
HIPAA: Compliant
GDPR: Compliant
Cloud: Managed by Larridin
On-prem: In your data center
BYOC: Bring your own cloud

Questions

Larridin and Jellyfish, answered

Is Larridin a replacement for Jellyfish?

Some teams keep Jellyfish for allocation and capitalization and use Larridin for AI’s return, agents, spend and the router. Others consolidate on Larridin.

Does Larridin measure AI outside engineering?

Yes. Larridin measures AI use, spend and outcomes in every team, from sales and support to finance, next to engineering.

Which coding agents does Larridin measure?

Devin, Claude Code, Codex and Cursor, alongside version control, CI/CD, incident and alerting systems. Please check out our integrations page for the latest.

How is Larridin priced?

Annual enterprise contracts start at $25,000 a year, we price it both based on usage and seats.

How did you compare Jellyfish?

From Jellyfish’s public website, documentation and third-party reviews, checked September 2026. Sources are listed below. Where we found no evidence either way, the table says “Not shown”.

Sources for the Jellyfish column, checked September 2026

Spotted something out of date? Email hello@larridin.com and we will correct it.

Prove AI’s impact. Across your human and agent workforce.

Try Larridin

From $25,000 a year, annual contract.