Analytical Flavor Systems

Analytical Flavor Systems is the startup behind Gastrograph AI, a sensory-science and machine-learning platform that modeled human flavor, aroma, and texture perception to help food and beverage companies predict consumer preference, benchmark products, and optimize formulations before physical prototyping. It was a Techstars-backed portfolio company. Its gastrograph.com domain now 301-redirects to NielsenIQ, which acquired the technology and folded it into its BASES AI Product Developer solution; no independent public API, developer portal, or SDK surface remains.

Analytical Flavor Systems is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Machine Learning, Food and Beverage, and Sensory Analytics.

🌐 Visit website 📡 Source on GitHub
6.8/100 minimal ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-27 · rubric v0.5
0 APIs
CompanyArtificial IntelligenceMachine LearningFood and BeverageSensory AnalyticsConsumer InsightsFlavor

Kin Score

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scored 2026-07-27 · rubric v0.5
Composite quality — 6.8/100 · minimal
Contract Quality 0.0 / 25
Developer Ergonomics 0.0 / 20
Commercial Clarity 0.0 / 20
Operational Transparency 0.0 / 13
Governance 0.0 / 12
Discoverability 6.8 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 15
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/analytical-flavor-systems: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Analytical Flavor Systems Domain Security

DMARC

SECURITY

Resources

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity
DomainSecurity

Company 1

The organization behind the API

Website
Website

Source (apis.yml)

apis.yml Raw ↑ 
aid: analytical-flavor-systems
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/analytical-flavor-systems.png
name: Analytical Flavor Systems
description: Analytical Flavor Systems is the startup behind Gastrograph AI, a sensory-science and machine-learning platform
  that modeled human flavor, aroma, and texture perception to help food and beverage companies predict consumer preference,
  benchmark products, and optimize formulations before physical prototyping. It was a Techstars-backed portfolio company.
  Its gastrograph.com domain now 301-redirects to NielsenIQ, which acquired the technology and folded it into its BASES AI
  Product Developer solution; no independent public API, developer portal, or SDK surface remains.
url: https://raw.githubusercontent.com/api-evangelist/analytical-flavor-systems/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- techstars
x-tier: stub
x-tier-reason: portfolio-lead
x-status: acquired
x-acquired-by: nielseniq
specificationVersion: '0.20'
created: '2026-07-17'
modified: '2026-07-17'
tags:
- Company
- Artificial Intelligence
- Machine Learning
- Food and Beverage
- Sensory Analytics
- Consumer Insights
- Flavor
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: DomainSecurity
  url: security/analytical-flavor-systems-domain-security.yml
- type: Website
  url: https://gastrograph.com/
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence