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Neptune.ai
neptune.aiSummary
Neptune.ai is an MLOps platform specializing in experiment tracking for foundation models. It allows AI researchers and engineers to monitor, compare, and debug thousands of per-layer metrics during model training at scale. The platform offers both SaaS and self-hosted deployment options, catering to enterprise needs for data security and compliance.
Feature Matches4/13
See all4/13
Must Have
3 of 5
API Access
Safety & Alignment Framework
Enterprise Solutions
Conversational AI
Fine-Tuning & Custom Models
Other
1 of 8
Research & Publications
Image Generation
Code Generation
Multimodal AI
Security & Red Teaming
Synthetic Media Provenance
Threat Intelligence Reporting
Global Affairs & Policy
PricingTiered
See allTiered
Startup
$150.00 monthly
- Unlimited tracked hours
- Unlimited users & projects
- 1B data points/month
- 1 TB storage
- 99.99% ingestion SLA
- SSO/LDAP
- Standard email & chat support
Lab
$250.00 monthly
- Everything from Startup+
- 10B data points/month
- 10 TB storage
- Forking of runs
- Role-based access control
- 24/7 support
- Dedicated Customer Success Manager and user support Slack channels
Self-hosted
Custom
- Everything from Lab+
- Deployment on your own infrastructure or private cloud
- Dedicated instance deployments
- Ingestion speed & storage limits depending on the infrastructure setup
- High reliability and availability deployment options
- Site Reliability Engineer support
Rationale
Neptune.ai is an MLOps platform focused on experiment tracking for foundation models. While it doesn't directly offer conversational AI or multimodal generation, it provides tools for AI researchers and enterprises to monitor, debug, and manage their AI model training, which aligns with the broader concept of an AI platform. It explicitly mentions API access for logging and querying, enterprise solutions with self-hosting and security features, and publishes research reports. The safety and alignment framework is inferred from their focus on security, compliance (SOC2, GDPR), and robust monitoring for stable training, which indirectly contributes to safer AI deployments.
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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.