Sold by: 4Minds AI
Deployed on AWS
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Deploy custom language models with zero downtime, self-learning in real time, and no retraining continuously optimize domain-specific AI systems
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Overview
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4MINDS Agentic Overview
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4MINDS AWS Native Integrations
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4MINDS Agentic Chat
4MINDS is the fastest way to build custom AI systems that continuously adapt to your business. Built for enterprises that need AI they can trust in production, not just in demos.
Enterprises spend 40 to 60 percent of AI budgets on model retraining. 4MINDS eliminates that cycle through structured cognition, governed execution, and continuous adaptation.
The platform includes Structured Reasoning, a multi stage verification engine that reduces hallucinations by 60 to 75 percent. Ghost Weights™ enables reversible model adaptation without mutating the base model or causing behavioral drift. A Hierarchical Knowledge Graph scales to millions of nodes with stable latency and no retraining required. Secure by Construction MCP enforces three independent security boundaries with immutable audit trails. 4MINDS is model agnostic and works with Amazon Bedrock, Claude, Titan, Llama, and other leading foundation models.
Customers achieve 70 to 85 percent lower model maintenance costs and reach production in 4 to 8 weeks. Full audit trails support SOC 2, HIPAA, and regulated industries.
AWS native deployment runs on ECS or EKS with S3, DynamoDB, PrivateLink, CloudWatch, and KMS. SSO and REST API access are included.
Highlights
- Deploy Production-Ready AI in Minutes, Not Months 4MINDS eliminates the lengthy fine-tuning phase through Adaptive Graph Reasoning Layer (AGRL), delivering domain-accurate models immediately upon deployment. This removes the traditional 3-6 month setup barrier that delays enterprise AI projects.
- Zero Downtime Model Updates with 85% Faster Deployment Atomic model swap technology enables continuous learning during inference without service interruptions or expensive retraining cycles. Models evolve automatically in production while maintaining 24/7 uptime critical for financial services, healthcare, and mission critical operations.
- Full Audit Trails for Regulatory Compliance Unlike black-box AI, every decision includes explicit reasoning paths, confidence scoring, and contradiction detection. Native AWS security integration (KMS, CloudWatch, S3) with built in governance framework provides compliance ready AI that meets enterprise accountability requirements.
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Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
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Dimension | Description | Cost/month |
|---|---|---|
Startup | Pro Designed for professional teams that require enhanced performance and flexibility, this plan includes three custom AI models, up to 10,000 LLM calls per month, 10 concurrent queries, 1,000 document uploads per month, 50 GB of secure storage, up to five user seats, medium GPU priority, API access with webhook support, role-based access control, and full agentic workflow support. | $2,500.00 |
Teams | Teams Designed for collaborative teams scaling their AI operations, this plan includes five custom AI models, up to 100,000 LLM calls per month, 50 concurrent queries, 5,000 document uploads per month, 200 GB of secure storage, up to 20 user seats, medium GPU priority, access to advanced base models including o1-preview, SSO and role-based access control, audit logging, priority support, API access with webhook support, and full agentic workflow support. | $5,000.00 |
Teams Plus | Teams Plus Built for larger organizations with demanding AI workloads and advanced collaboration needs, this plan includes six custom AI models, up to 100,000 LLM calls per month, 50 concurrent queries, 10,000 document uploads per month, 500 GB of secure storage, up to 50 user seats, high GPU priority, access to all base models, SSO and role-based access control, audit logging, priority support, a 99.9% SLA, and human-in-the-loop support. | $20,000.00 |
Enterprise | Enterprise Purpose-built for large-scale enterprise deployments requiring maximum performance, security, and control, this plan includes unlimited custom AI models, unlimited LLM calls and queries, unlimited document uploads and storage, unlimited user seats, highest GPU priority, access to all base models, dedicated infrastructure, custom integrations, custom deployment options, SSO with full RBAC and audit logging, SLA guarantees, and a dedicated support team. | $0.00 |
Dimensions summary
You pick from four contract tiers that scale by capacity and access. Startup (Pro) supports smaller teams with fixed limits on models, monthly LLM calls, document uploads, storage, and user seats. Teams and Teams Plus raise these limits and add features like single sign-on, audit logging, and priority support. Teams Plus adds higher GPU priority and an SLA. Enterprise removes the caps entirely, offering unlimited usage plus dedicated infrastructure and support. As you move up, seat counts, storage, GPU priority, and available base models increase.
Top-of-mind questions for buyers
An LLM call is a single query sent to a base or custom model for a response. Startup allows up to 10,000 calls per month. Teams and Teams Plus each allow up to 100,000 calls per month. Enterprise removes this cap entirely with unlimited calls.
The storage and GPU figures in each plan apply to 4MINDS-hosted deployments. Instances hosted on your own cloud provider are not subject to these limits. The Enterprise plan also offers dedicated infrastructure and custom deployment options.
Each plan sets fixed caps on models, calls, seats, storage, and uploads. To raise these limits, you move to a higher plan such as Teams, Teams Plus, or Enterprise. Enterprise removes all caps with unlimited usage. Plan changes are a manual selection, not automatic overage.
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4Minds provides custom pricing for customers through AWS Private Offers. To better understand our pricing model and product offerings, please contact contact@4minds.ai Our team will work directly with you to align pricing and packaging to your specific business and technical requirements.
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AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
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Customer reviews
reviewer2855424
Unified partner data has delivered a live, trusted view that drives faster, confident decisions
Reviewed on Jun 10, 2026
Review from a verified AWS customer
What is our primary use case?
4MINDS delivered a custom, domain-specific model fine-tuned on our own data in under four weeks, months ahead of any custom build we could have done. The value isn't just the speed; it is that the model genuinely understands our business, so what it produces is precise and trustworthy rather than generically 'close enough,' which is critical for our business.
How has it helped my organization?
Our entire business runs on partnership health signals that were scattered across Salesforce, HubSpot, AWS ACE, and AWS Partner Central, plus a frustrating amount living in spreadsheets. Assembling that picture by hand took hours every quarter and was stale by the time we had it. 4MINDS unified all of it into one live, intelligent view. As a non-technical founder, I went from a vision to a fully launched product in about 60 days, roughly six times faster than the year-long build we had originally scoped.
More importantly, the model is fine-tuned on our actual domain, so our partner teams now work from one trustworthy source of truth instead of a folder of stale exports.
What is most valuable?
Two capabilities stand out. First is Ghost Weights; the way 4MINDS adapts the model to our domain is fully reversible, so we could deepen its expertise in our partner and co-sell world without the risk that usually comes with fine-tuning. If something needs to change, it rolls back cleanly. That is what gave us the confidence to move in under four weeks rather than treating customization as a one-way door.
Second is continuous learning. Our business isn't static; partner motions and priorities shift constantly, and the model keeps adapting alongside us instead of going stale the moment it ships. Combined with the custom, domain-specific model itself (grounded on the Synthesis Graph so answers reflect our real data, not generic guesses) and the fact that it all runs inside our own AWS account on EKS, Bedrock, and SageMaker behind PrivateLink, we got depth, safety, and speed without standing up model infrastructure we didn't want to own.
What needs improvement?
Onboarding our initial data sources was smooth, but more out-of-the-box connectors and templates for common partner systems would shave time off that very first setup. We would also welcome richer self-serve dashboards and alerting layered on top of the unified view, so non-technical users can build and adjust their own reporting without help. To be clear, none of this slowed us down; these are enhancements to an already strong foundation.
For how long have I used the solution?
I have used the solution for two months.
Which solution did I use previously and why did I switch?
We didn't switch from a competing product; we switched away from a manual process. Before 4MINDS, our 'system' was analysts stitching together Salesforce, HubSpot, AWS ACE, Partner Central, and spreadsheets by hand each quarter. The realistic alternative was a 12-month custom build to replace that, which is a long time to ask the market to wait. 4MINDS let us skip building an AI backbone from scratch and launch in about 60 days instead.
What's my experience with pricing, setup cost, and licensing?
The setup cost is custom to your needs.
Which other solutions did I evaluate?
We looked hard at building it ourselves on raw foundation models, which is where the 12-month estimate came from. The deciding factor was that 4MINDS supplied a production-ready AI backbone, grounded reasoning on the Synthesis Graph plus a domain-specific model adapted through Ghost Weights, deployed inside our own AWS account and procured straight through AWS Marketplace with no separate vendor review. That combination of speed, control, and a model that actually understood our domain is what a DIY build or an off-the-shelf model couldn't match.