DNAi
Builds custom AI systems for inventory optimization, quality control, genomic analysis, and data interpretation across industries.
≈ 47visits/mo
Emerging · estimate, read 2026-09-19
- For
- Industrial companies in healthcare, manufacturing, supply chain, and energy seeking AI solutions for their operations.
- Price
- Price not read
- Activity
- Actively maintainednothing dated on the site
- Company
- founding year not on record
- optimize inventory levels and predict maintenance needs
- analyze images for quality control in production
- process and interpret genomic data efficiently
- #2
Amplitude
Tracks user behavior and product interactions, then uses AI to identify optimization opportunities and automate insights.
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Rippling
Manages HR, IT, payroll, and finance for global workforces on a unified platform with AI automation.
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GrowthBook
Runs A/B tests, manages feature flags, and analyzes product data from your data warehouse.
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Thomson Reuters Checkpoint Edge with CoCounsel AI
Integrates legal research, analysis and drafting with AI grounded in legal content and case law.
3Mnot readContact sales2008 - #7
Inspectlet
Records visitor sessions and heatmaps to show how users interact with websites.
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Databox
Connects business data and metrics to AI agents that analyze performance, generate reports, and automate recurring analysis workflows.
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What is DNAi?
Builds custom AI systems for inventory optimization, quality control, genomic analysis, and data interpretation across industries.
Who is DNAi for?
Industrial companies in healthcare, manufacturing, supply chain, and energy seeking AI solutions for their operations.
Do people use DNAi?
Emerging: ≈ 47 visits a month · estimate, 2026-09.
Is DNAi still maintained?
Actively maintained.
What are alternatives to DNAi?
In Analytics, by use: Amplitude, Rippling, GrowthBook, Thomson Reuters Checkpoint Edge with CoCounsel AI, Inspectlet, Databox.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one row at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.