Overview
Fifer is the enterprise GenAI powerhouse built specifically for federal government operations, delivering trustworthy AI that eliminates hallucinations, ensures data security, and maintains compliance within your secure environment. Unlike commercial AI tools that can't meet federal security requirements, Fifer was designed from the ground up to work within government constraints while delivering superior performance. Our patent-pending hallucination mitigation technology uses curated, authoritative knowledge bases separated from the LLM, ensuring accuracy rates of 96%+ compared to traditional approaches. Fifer keeps all data within your enclave using only FedRAMP-approved services, with comprehensive NIST 800-53 compliance built in. The Fifer platform includes specialized modules purpose-built for federal use cases: FiferEXPERT provides around-the-clock precise answers using curated knowledge bases; FiferDEV streamlines software development lifecycles with secure code creation and testing; FiferANALYST rapidly analyzes large document volumes; FiferCHAT enables secure collaboration with advanced language models; and FiferAUDIT automates compliance documentation and Risk Management Framework processes. Proven results include 150% productivity improvements, 96% accuracy rates, and dramatic time savings across oncology data abstraction, cybersecurity documentation, healthcare coverage inquiries, and software development workflows.
Highlights
- Highly secure, no data leaves your AWS enclave and it only relies on infrastructure that has been approved by FedRAMP up to FISMA High impact.
- Highly accurate, by referencing your data, and only your data, when creating answers, it can be twice as accurate as a general purpose AI solution.
Details
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/month |
|---|---|---|
FiferCHAT User | FiferCHAT User | $25.00 |
FiferEXPERT User | FiferEXPERT User | $80.00 |
FiferAUDIT User | FiferAUDIT User | $2,600.00 |
FiferDEV User | FiferDEV User | $40.00 |
FiferCORE API User | FiferCORE API User | $40.00 |
FiferANALYST User | FiferANALYST User | $50.00 |
Core Production Environment | Core Production Environment Count | $4,166.67 |
Vendor refund policy
This is a contract subscription with no refunds. Please contact CVP before purchase if you have any questions or need a customized offer.
Custom pricing options
How can we make this page better?
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
V2
Additional details
Usage instructions
- Launch instance from AMI (50 GiB root volume included)
- Wait ~2 minutes for services to start
- Retrieve initial admin credentials:
Option A (No SSH): AWS Secrets Manager
aws secretsmanager get-secret-value
--secret-id fifer/fifer-marketplace/initial_admin_credentials
--region us-east-1
--query SecretString --output text | jq
Option B (SSH): Connect via SSH - credentials displayed in MOTD banner
Option C (SSH): Check startup log sudo tail -100 /var/log/fifer-startup.log 4. Access Fifer at http://<instance-ip>:8000
Important: Change password after first login!
Support
Vendor support
Please email nextlabs@cvpcorp.com for support.
AWS infrastructure support
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.