G

Groq

Week 2026-W17 · 26 Apr 2026 Vendor-Neutral
39 /100 Notable Concerns
1.9/5 (99)
↓ PDF Report
AUDITOR SUMMARY
  • Strength: Groq provides unparalleled inference speed through its custom LPU hardware, enabling real-time AI applications and offering significant cost savings over slower, GPU-based alternatives.

Trust Score Trend

12-month rolling window

Week 1 of 2 — Trust score tracking has begun

Return next week for historical trend visualization.

Trust Score 39/100 EVALUATE
Est. Annual Cost See TCO ↓ 100 users / yr
Top Risk HIGH Reliability Overall: High
Priority Action Review report ↓ ↓ PDF  · TCO  · Hardening
Compliance
0/35
Legal / IP
15/25
Security
19/25
Market
5/15
Sub-total
39/100
Raise this score: Request SOC2 Type II report from vendor +15 pts · Require vendor to provide GDPR DPA +10 pts · Verify ISO 27001 certification +10 pts
This report updates every week. Weekly AI vendor intelligence — trust scores, contract red flags, competitive shifts.
02Weekly Intelligence

This Week's Intelligence

Trust 39
Security
Legal

No new events — monitoring active.

KEY TAKEAWAY

Groq offers unprecedented AI inference speed via its custom LPU hardware, presenting a compelling performance advantage over GPU-based competitors. However, this velocity is offset by significant enterprise readiness gaps and area where additional disclosure would support evaluations. Analysis reveals a pattern of developers leaking API keys in public repositories, and frequent complaints of aggressive rate-limiting that disrupts service. The vendor's terms of service lack explicit policies on customer data usage for model training, creating a critical legal and IP risk. While financially well-capitalized, the platform's lack of SSO, audit logs, and clear data governance makes it unsuitable for regulated or mission-critical enterprise deployment without significant due diligence and contractual safeguards.

This Week's Actions
Get alerts when Groq's score changes

Cumulative Intelligence

Patterns and signals detected over time — based on 50+ community data points from GitHub, X/Twitter, Reddit, Hacker News, Stack Overflow

Patterns Detected

  • Initial audit baseline: A recurring pattern is the trade-off between Groq's exceptional speed and its operational immaturity. Developers are drawn to the performance but are immediately confronted with practical issues like rate limits and API errors.
  • Initial audit baseline: There is a significant developer education gap regarding API key security. The high frequency of leaked keys suggests that many users are hobbyists or new developers who are not following security best practices.

Long-term Trends

  • Initial audit baseline: Groq is rapidly gaining mindshare in the developer community as the 'fastest' inference engine, positioning it as a major challenger to established GPU-based providers, but its path to enterprise adoption is blocked by security and compliance gaps.

Strategic Insights

Category Benchmark

How Groq compares to 6 other tools in this category.

Your Score vs Category
Worst: 15 Avg: 48 You: 39 Best: 77
42th
Percentile in Category
-38
Gap to OpenAI GPT
↓ Below
Category Average (48)
03Verdict & Recommendation

Enterprise Verdict

× Extended Due Diligence Required
Risk: High 50 sources
Key Strength

Detailed community analysis available in report body

Required Before Approval
  • Request and review SOC2 Type II audit report
  • Execute signed Data Processing Agreement (DPA)

Before You Sign

Procurement checklist — complete these before committing budget.

🔴 HIGH General
Type II covers a time period of operation; Type I is a point-in-time snapshot that provides weaker assurance.
🔴 HIGH General
GDPR Article 28 requires a DPA with any processor. Without it, you carry the compliance liability.
🟡 MEDIUM General
If the tool produces content that infringes on third-party IP, you need contractual protection against infringement claims.
🟢 LOW General
Ensure you can retrieve your data within 30 days of cancellation in standard formats (CSV, JSON, API).

Enterprise Contract Requirements

7 clauses generated from audit findings — add these to your vendor agreement before signing.

Must-Add Clauses (Top 3 Priority)

  1. AI Training Data Exclusion CRITICAL
  2. Data Processing Agreement (GDPR Article 28) CRITICAL
  3. IP Ownership & Indemnification HIGH
CRITICAL Data & AI Training AI Training Data Exclusion Expand
Vendor shall not use Customer Data, including code, prompts, or generated outputs, to train, fine-tune, or evaluate any AI or machine learning model. This prohibition extends to all sub-processors and affiliates. Violation constitutes a material breach.
CRITICAL GDPR / Data Processing Data Processing Agreement (GDPR Article 28) Expand
A Data Processing Agreement compliant with GDPR Article 28 must be executed prior to any data transfer. The DPA must identify all sub-processors, specify data retention periods, and provide for the right to audit.
HIGH Intellectual Property IP Ownership & Indemnification Expand
All code, suggestions, completions, and outputs generated for Customer constitute Customer's intellectual property. Vendor shall indemnify and defend Customer against any third-party IP infringement claims arising from use of the Service.
HIGH Liability Liability Cap Expand
Vendor's aggregate liability for any claim shall not exceed the greater of (a) fees paid in the 12 months preceding the claim or (b) $500,000. This cap shall not apply to breaches of confidentiality or indemnification obligations.
HIGH Exit & Portability Data Export & Exit Rights Expand
Upon termination, Vendor shall provide Customer with a complete export of all Customer Data in machine-readable format (JSON or CSV) within 30 days at no charge. Vendor shall retain Customer Data for 90 days post-termination solely for export purposes.
MEDIUM Contract Terms Auto-Renewal Opt-Out Expand
This Agreement shall not auto-renew unless Customer provides written confirmation no later than 60 days before the renewal date. Vendor shall provide written notice of upcoming renewal no later than 90 days before the renewal date.
MEDIUM Security Security Incident Notification Expand
Vendor shall notify Customer of any confirmed or suspected security incident affecting Customer Data within 48 hours of discovery. Notification shall include nature of the incident, data affected, and remediation steps taken.
04Risk Assessment

Risk Assessment

Seven-category enterprise risk analysis derived from community and vendor signals. Each card shows the evidence tier and the underlying finding.

High Reliability Community Data

Vendor viability score: 40/100. No community-reported outages or reliability incidents found in recent data.

Critical Cost Predictability Community Data

Vendor financial stability score: 40/100. Total funding raised: unknown. Enterprises should negotiate fixed-rate contracts and monitor pricing changes.

High Vendor Lock-in Community Data

Data export status unclear. Integration score: 0/100. Webhooks available, reducing lock-in risk.

Critical Data Privacy Community Data

Compliance score: 40/100. GDPR: unknown. Encryption at rest: unknown.

Medium Compliance Posture Community Data

SOC 2: none. ISO 27001: none. Overall compliance score: 40/100.

Medium AI Transparency Community Data

No training on user data detected. Code ownership terms unclear. Legal/ToS risk score: 65/100.

Verified — Confirmed by vendor documentation or disclosure Community — Derived from developer forums, GitHub, and community reports
05Security & Compliance

Compliance Framework Matrix

[EU]
EU AI Act
European AI Regulation (2024)
Compliance Status: partial
[US]
NIST AI RMF
AI Risk Management Framework
[Global]
ISO/IEC 42001
AI Management System
not_certified
New risk signals detected weekly. Weekly AI vendor intelligence — trust scores, contract red flags, competitive shifts.
06Legal & Intellectual Property

Exit & Migration Risk

How hard is it to leave? Assess lock-in before you commit.

Lock-in Score
50/10
🟡 MODERATE LOCK-IN
Data Portability Unknown
API Available No
Auto-Renewal Clause Not Detected
Termination Notice 30 days
⚠ Contract Red Flags
  • Auto-renewal terms and data export rights not publicly documented — verify before signing.
Migration Notes: Full contract terms for Groq require direct vendor engagement. Ensure data portability on exit, notice period, and pricing lock clauses are negotiated before execution.
07Financial Analysis

Vendor Financial Health

📈 Viability Signals
Stability: 50/100

No public financial data available for Groq. Treat as elevated viability risk for long-term enterprise contracts; request audited financials or escrow agreement if vendor is critical infrastructure.

TCO Calculator

Custom TCO Assessment Required

This vendor's enterprise pricing data is currently under review by our analyst network or requires custom scoping. Contact us for a free, independent TCO assessment tailored to your organization's deployment size.

Request TCO Assessment →
08Contract & Procurement

Pricing Tier Risk Analysis

Per-tier compliance posture data is being collected for this vendor. Check back after the next weekly refresh, or contact the vendor directly to request enterprise tier documentation (SOC 2, DPA, audit logs).

09Community & Market Signals

Community Evidence

Sentiment analysis and recurring issues from developer & enterprise community signals this week. 🟢 Vendor Data 🟠 Community Signal

Community Evidence This Week

Specific signals from GitHub, Hacker News, Reddit, Stack Overflow, and the web — what the community is actually saying

Due Diligence Alerts

Priority reviews, recommended inquiries, and verified strengths — based on 86+ community data points

Verified Strength Low Detailed community analysis available in report body
Inferred from 86+ signals across GitHub, HackerNews, and community forums

Search Interest & Popularity Signals

Real-time data from Google Trends and VS Code Marketplace. Reflects public search momentum — not a quality indicator.

Google Search Interest
Relative index (0–100) · Last 90 days
30
This Week
100
90-day Peak
-28.6%
Week-over-Week
-11.8%
Month-over-Month

Source: Google Trends · Interest is relative to the peak in the period (100 = peak). Does not reflect absolute search volume.

Evaluation Landscape

Community members actively discussing a switch away from Groq — these tools are appearing as migration targets in developer forums and enterprise discussions. Where counts are significant, migration intent is a procurement signal worth investigating.

OpenAI
Anthropic
Together AI

Side-by-Side Comparison

Groq vs. top migration targets — based on community discussion signals this week.

▶ Groq This report OpenAI Anthropic Together AI
Migration Signals
Why Users Switch
Friction Point
Trust Score 39/100 Not rated Not rated Not rated
Source Swanum Analysis

Migration signals = community mentions of switching away from Groq to this alternative. Not a product endorsement.

Market Comparison

How Groq stacks up against 6 alternatives in the same category — same scoring methodology, same week.

Tool Trust Compliance
/35
Legal/IP
/25
Security
/25
Market
/15
TCO / 100 users
Groq ← this report 39 15 19 5
Cohere 60 25 15 0 10 $149996
DeepSeek 24 0 0 19 5
Llama 15 10 0 0 5 $140000
Mistral 75 0 15 19 5 $55488
Ollama 35 10 15 0 10 $34000
OpenAI GPT 77 35 15 17 10 $45000
10Enterprise Technical & Purchase Decision

Scoring Methodology

Every score is a weighted composite. The exact formula is transparent below.

Overall Trust Score (0–100)

40% Sentiment Ratio Positive vs. negative mention ratio across all sources
25% Issue Severity Frequency and criticality of reported bugs, outages, and UX complaints
20% Source Volume & Diversity Number and diversity of data sources (Reddit, HN, GitHub, G2, etc.)
15% Momentum Week-over-week trend direction and velocity of sentiment change
Evidence Confidence: Medium (86 data points)

Data Sources This Week

Reddit 1 signals
GitHub Issues 60 signals
Stack Overflow 2 signals
YouTube 22 signals
CVE Databases 8 signals
Official Documents 15 signals
Don't evaluate blind next quarter. Weekly AI vendor intelligence — trust scores, contract red flags, competitive shifts.

Independent analysis — signals aggregated from GitHub, Reddit, HN, Stack Overflow, Twitter/X, G2 & Capterra. Not affiliated with any vendor. Corrections?

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