Competitors
50
Summary
Pecan AI provides an automated predictive analytics platform designed to empower business intelligence professionals and analysts with AI capabilities. It offers tools for data integration, LLM-powered data modeling, automated model evaluation, and no-code deployment of predictive models. The platform focuses on various business use cases such as customer churn, demand forecasting, and lead scoring.
Feature Matches4/13
See all4/13
Must Have
4 of 5
Conversational AI
API Access
Safety & Alignment Framework
Enterprise Solutions
Fine-Tuning & Custom Models
Other
0 of 8
Image Generation
Code Generation
Multimodal AI
Research & Publications
Security & Red Teaming
Synthetic Media Provenance
Threat Intelligence Reporting
Global Affairs & Policy
PricingTiered
See allTiered
Starter
$950.00 monthly
- 20 Model trainings
- 1 Monthly models in production
- 2 Monthly predictions batches
- 500M rows Storage
- In-app Support & enablement
- Maximum number of seats: 10
Business
$1,750.00 monthly
- 40 Model trainings
- 3 Monthly models in production
- 15 Monthly predictions batches
- 2Bn rows Storage
- In-app + Essential enablement Support & enablement
- Maximum number of seats: 20
- Google Workspace & Microsoft Single Sign-On (SSO)
Enterprise
$2,500.00 monthly
- 100 Model trainings
- 7 Monthly models in production
- 90 Monthly predictions batches
- 5Bn rows Storage
- In-app + Pro enablement Support & enablement
- Custom Maximum number of seats
- Any SAML, OIDC & OAuth SSO provider Single Sign-On (SSO)
Rationale
Pecan AI offers an automated predictive analytics platform that leverages AI, including an LLM-powered co-pilot for data modeling, which aligns with conversational AI. It provides integrations and deployment options, suggesting API access for data flow. The platform emphasizes security and robust safeguards, indicating a focus on safety and alignment. Furthermore, its tiered pricing (Starter, Business, Enterprise) and features like SSO and custom seats for larger organizations point to enterprise solutions. However, it does not explicitly mention fine-tuning models, image/code generation, or detailed research publications as core offerings.
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See allBest alternatives to [Product] in 2024?
Reddit·tech_enthusiast·2d ago·+142
I've been using Alternative A for 6 months now and it's been fantastic. The pricing is much better and the features are actually more robust than what [Product] offers.
Show HN: We built a better [Product]
Hacker News·startup_founder·5d ago·+89
After struggling with [Product]'s limitations, we decided to build our own solution.
It handles edge cases much better and the API is actually documented properly.
Check it out at our site.
[Product] vs Competitor B - which one should I choose?
Reddit·confused_buyer·Oct 14·+67
Honestly, after trying both, Competitor B wins hands down. Better customer support, cleaner interface, and they don't nickel and dime you for every feature.
Why we migrated away from [Product]
Hacker News·cto_mike·Oct 11·+234
The breaking point was when they changed their API without notice. We lost 3 days of productivity. Solution C has been rock solid for us since we switched.