Applied Spectral Imaging vs Viz.ai

Applied Spectral Imaging vs Viz.ai, compared side by side on 21 data points: what each one does, how big it is, what it has raised, the tech running each site, and what users report. We score both out of 100 on traction, team and visibility: Applied Spectral Imaging is on 44/100 and Viz.ai on 74/100.

Applied Spectral Imaging logo
Applied Spectral ImagingDevelops automated imaging and analysis platforms for pathology, cytogenetics, and life science research.
Try Applied Spectral Imaging
Viz.ai logo
Viz.aiAI-powered care coordination platform for faster diagnosis and treatment of critical conditions.
Try Viz.ai

Where each one leads

Applied Spectral Imaging

Leads on none of the measures we hold for both companies.

Viz.ai

  • our overall score: 74/100 against 44/100
  • domain rating: 68/100 against 43/100
  • headcount: 331 against 84
  • funding raised: $292M against $11.0M
  • LinkedIn following: 48,917 against 13,886

At a glance

MeasureApplied Spectral ImagingViz.ai
What it isDevelops automated imaging and analysis platforms for pathology, cytogenetics, and life science research.AI-powered care coordination platform for faster diagnosis and treatment of critical conditions.
CategoryMedical Imaging, Healthcare, Pathology, MedTechHealthcare, Medical Imaging, Strokes, Healthcare AI
Sells toBusiness modelB2BB2B
OfferingSoftwareSoftware
Founded19932016
HeadquartersLittlehampton, United KingdomSan Francisco, United States
StatusActiveActive

Size, funding and growth

MeasureApplied Spectral ImagingViz.ai
Employees84331
Headcount growthLast 12 monthsNot published-4.9%
Total funding$11.0M$292M
Latest roundSeries ASeries C
Valuation$60.0M$1.2B
LinkedIn followers13,88648,917

StartupHub scores

Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.

MeasureApplied Spectral ImagingViz.ai
StartupHub scoreOur 0-100 rating44/10074/100
Traction55/10060/100
TeamNot published70/100
CommunityNot published20/100
Search visibility37/10035/100
Quality48/10086/100
Agent readinessHow well an AI agent can read and act on the siteD (44/100)D (47/100)
Domain ratingLink authority, 0-10043/10068/100

Technology

Detected on each public site, so it reflects the marketing stack as well as the product.

MeasureApplied Spectral ImagingViz.ai
HostingGoogle CloudNot detected
CDNNot detectedCloudflare
CMSWordPressWordPress
FrameworksJqueryJquery
AnalyticsGoogle Analytics 4Google Tag Manager, Hotjar
Support stackNot detectedIntercom

What users say

MeasureApplied Spectral ImagingViz.ai
Community ratingVisitor votes on StartupHubNot published5.0/5 from 1 vote
Reddit sentimentThreads we track1 positive, 0 negative across 2 threadsNot published
Applied Spectral Imaging
Looking ahead, Bionano is perfectly positioned to team up with companies like Thermo Fisher, Agilent, and Applied Spectral Imaging…leaders in lab automation, diagnostics, and v
r/OGM_BionanoGenomics

Applied Spectral Imaging vs Viz.ai: common questions

Which is better, Applied Spectral Imaging or Viz.ai?

On our 0-100 score Viz.ai rates higher (74/100 against 44/100). The score weights traction, team, visibility and profile completeness, so it reflects company strength rather than which product suits you. We compare the two on 21 data points above: read the rows that match what you are buying for.

How do Applied Spectral Imaging and Viz.ai compare on the numbers?

Viz.ai leads on our overall score (74/100 against 44/100), domain rating (68/100 against 43/100), headcount (331 against 84), funding raised ($292M against $11.0M), LinkedIn following (48,917 against 13,886).

What do real users say about Applied Spectral Imaging and Viz.ai?

Applied Spectral Imaging: 1 positive and 0 negative mentions across 2 Reddit threads we track, mostly in r/OGM_BionanoGenomics.

Read the full Applied Spectral Imaging review and pricing or the Viz.ai review and pricing. You can also browse other Applied Spectral Imaging alternatives we track.