New
Major features and launches
Improved
Enhancements and refinements
Fixed
Bugs, polish, and reliability
Public-facing Atlas Command site to support beta, sales, and trust conversations.
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New
Launched new marketing homepage with clear carrier-first positioning and AI story.
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New
Added full About, Story, Pricing, Documentation, API, Careers, Support, Status, Security,
Privacy, Terms, and Legal pages.
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Improved
Unified visual language (dark, minimal, green accent) between the web app and marketing
site for a single Atlas experience.
Gave dispatchers and leadership a live view into how the AI is performing – not just
"magic".
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New
Added AI Accuracy Trend widget to the main dashboard with rolling accuracy metrics.
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New
Introduced AI Proof section in Load Details to show why specific drivers were recommended.
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Improved
Tightened feedback loop from thumbs-up / thumbs-down into lane-level learning tables.
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Fixed
Resolved several edge cases where AI predictions could be generated for loads outside the
current org.
Built a modern, dispatcher-first Load Details page that actually reflects how freight moves.
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New
Added Google Maps route view with collapsible panel and clean green polyline between all
stops.
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New
Introduced "Send Instructions" flow with separate Company Driver vs
Owner-Operator views (rate hidden vs visible).
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Improved
Refined layout, spacing, and typography on Load Details for faster on-screen scanning in a
busy dispatch environment.
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Fixed
Eliminated map jitter and crash issues when toggling between loads or collapsing the
route panel.
Connected Atlas to live fuel economics so carriers can see real margin – not guesses.
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New
Integrated EIA fuel data to power cost-per-mile and lane profitability analytics.
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Improved
Updated lane analysis tooling with configurable driver pay assumptions and fuel
benchmarks.
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Fixed
Corrected several rounding issues in cost and margin calculations on the Loads and
Reporting views.
Locked in the foundations that allow multiple carriers to safely share the same platform.
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New
Rolled out organization-scoped data model with strict Row Level Security on all core
tables.
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New
Added org bootstrap & team management flows (invites, roles, MFA-first posture).
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Improved
Tightened AI tables (predictions, runs, feedback) to respect current_org_id across every
call.
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Fixed
Resolved foreign key constraints on AI prediction runs when deleting loads, ensuring
clean cascading behavior.
Earlier internal builds are not listed here, but if you're curious about the long-term
roadmap or specific features, reach out at
sales@atlascommand.app.