Automates enterprise workflows with autonomous agents, but focuses primarily on CRM integration rather than custom operations.

Gitmore records 1,021 monthly visits with -62.4% month-over-month growth and Freemium pricing. Invisible Technologies records 1,364,520 monthly visits with +64.4% growth and Contact for Pricing pricing.

Turn every commit and pull request into a Slack or email update
| Dimension / Metric | ![]() | ![]() |
|---|---|---|
| Official Domain | gitmore.io | inv.tech |
| Pricing Model | Freemium | Contact for Pricing |
| Monthly Visits | 1.02K (1,021) | 1.36M (1,364,520) |
| MoM Traffic Delta |
|---|
| -1.7K (-62.4%) |
| +534.28K (+64.4%) |
| Primary Market & Share | 🇺🇸 United States (100%) | 🇺🇸 United States (17.8%) |
|---|
| Direct Visits / mo | 401 | 877.84K |
|---|
| User Rating | 4.1 | 4.6 |
|---|
| Supported Platforms | Website | Website |
|---|

Turn every commit and pull request into a Slack or email update
Daily, weekly or monthly summaries of merged work and in-flight pull requests, generated by AI and delivered to Slack or email on your schedule and in your timezone.
Attributes each commit and pull request to a person or to an agent like Claude Code, Copilot, Cursor or Codex, so you can track AI share, merge rates and agent PRs waiting on review.
Branded, password-protected update pages written in plain language for clients, investors and executives, plus a public changelog and embeddable widget built from merged work.
Links tasks from Notion, Linear, Jira, Asana, ClickUp and Trello to the pull requests that implement them, flagging work that merged while the task stayed open.

Enterprise AI infrastructure where software and expert humans work together
Produces research-grade datasets, including multilingual and domain-specific evaluation data, backed by a large vetted expert network.
Runs AI systems through realistic task scenarios with custom criteria covering accuracy, safety, tone and domain fit, comparing models side by side.
Builds governed agents that handle multi-step work, use tools and write code, with versioning, per-customer separation and full audit trails.
Maps how work actually flows through an organisation, then automates steps gradually, routing to AI or humans as needed.
Automates enterprise workflows with autonomous agents, but focuses primarily on CRM integration rather than custom operations.

Delivers enterprise machine learning and autonomous agents, but lacks a dedicated human expert network for custom operations.

AI-generated wikis and chat for any public GitHub repository
#3
Provides structured data labeling and agent workflows, but lacks Invisible's dedicated white-glove human operations workforce.

Strong human-in-the-loop data annotation and validation services, but offers less customizable end-to-end autonomous agent software.

Builds collaborative team knowledge agents, but lacks the deep human-in-the-loop operational outsourcing provided by Invisible.

SpecialistAgent observability, evaluation, and continuous improvement for production AI

Combines agentic workflows and custom language models for content, but lacks generalized enterprise operational workflow outsourcing.

Free / Open-sourceSelf-driving agent platform you run in your own cloud

Free / Open-sourceOpen-source platform for data labeling and evaluation, but requires self-hosting and managing your own labeling workforce.


SpecialistBuild, simulate, evaluate and monitor self-improving AI agents

AI code review and status updates that keep every repo on track
Automates enterprise workflows with autonomous agents, but focuses primarily on CRM integration rather than custom operations.
Delivers enterprise machine learning and autonomous agents, but lacks a dedicated human expert network for custom operations.
Provides structured data labeling and agent workflows, but lacks Invisible's dedicated white-glove human operations workforce.
Builds collaborative team knowledge agents, but lacks the deep human-in-the-loop operational outsourcing provided by Invisible.
SpecialistAgent observability, evaluation, and continuous improvement for production AI
Free / Open-sourceOpen-source platform for data labeling and evaluation, but requires self-hosting and managing your own labeling workforce.
SpecialistBuild, simulate, evaluate and monitor self-improving AI agents
AI code review and status updates that keep every repo on track