This is a successfull message
This is an Alert Message
This is an Error Message
An AI-native engineering intelligence platform that connects your SDLC, measures AI's real delivery impact, reviews your code, and surfaces blockers before they hit timelines. Built for engineering teams that want to move from insight to action - without switching tools.
An engineering management platform built around business alignment. Strong in resource allocation, investment reporting, roadmap forecasting, and finance-facing dashboards. No free trial. No native AI code reviews. No agents.
Capability | Typo AI | Jellyfish |
|---|---|---|
| SDLC Analytics |  | |
| AI Coding Impact & RoI | | |
| AI-powered Q&A Interface | | |
| Sprint Analytics | | |
| Developer Experience Surveys | | |
| Engineering Allocation | | |
| Industry Benchmarking | | |
| AI Causal Insights | |  |
| Native AI Code Reviews | | |
| Team Productivity Agents | | |
| Custom Reporting | | Limited |
| Free Trial | | |
| On-premise Deployment | | Not listed |
| R&D Capitalization | Custom | |
| Security | SOC2 Type II + GDPR | SOC2 |
Limited Not listedMost platforms show you the metric. Typo AI tells you what’s driving it.
When cycle time spikes or throughput drops, Typo AI’s reasoning agent runs root cause analysis on your engineering data - identifying bottlenecks, recurring patterns, and where the issue is forming.
No manual digging. No dashboard hunting. The number and the reason, in the same place.
Jellyfish surfaces delivery data. Typo AI explains it.
Typo AI reviews your code in the pull request - trained on your codebase, your rules, your engineering patterns.
Real issues surfaced, not generic suggestions. PR summaries generated automatically. Security vulnerabilities flagged with SAST. Review time tagged so you see exactly where cycles stall.
Jellyfish tracks the impact of third-party review tools like CodeRabbit. Typo AI is the reviewer.
Every team is adopting AI coding tools. Few can prove they’re working.
Typo AI compares AI vs non-AI pull requests across teams, languages, and tools. Cycle time, review time, acceptance rates, quality deltas - all connected to delivery outcomes, not self-reported time savings.
Jellyfish measures AI spend, adoption, and vendor comparison. Strong for deciding which AI tool to invest in. Typo AI shows you what shipped and whether it shipped faster.
G2 Leader, Spring 2026.
Typo helps to track our team’s output and goals with its clean, user-friendly interface , and seamless integration with third-party tools. It offers automation, quick setup, and ongoing support for added convenience.
Typo AI helped us implement best development practices and reduce cycle time. The visibility across our SDLC changed how we run sprints.
Typo brings together engineering, delivery, and team health metrics in one place—enabling better data-driven decisions. Its intuitive interface and insights streamline workflows, boost efficiency, and improve team transparency.
Typo AI connects AI data to PR-level delivery metrics — cycle time, review time, quality — and runs root cause analysis when anomalies appear. Jellyfish is strong on multi-tool spend comparison, vendor ROI benchmarking, and AI spend tracking. If you need delivery-level root cause alongside AI ROI, Typo AI covers more ground.
Yes, in the custom plan for enterprises.
Typo AI. Free trial, free forever plan, faster setup. DX is packaged and priced for enterprise organizations.
For engineering leaders looking for answers, not dashboards.
