Sold by: Fission Labs Inc.
Fission Labs sets up LLMOps on AWS with OpenTelemetry tracing, automated RAGAS evals, hallucination detection, and token cost controls for GenAI you can see and govern.
Overview
Once GenAI is live, the hard questions start: why did it answer that, did quality drop after the last prompt change, and why did the token bill double? Fission Labs sets up LLMOps on AWS so every model call is traced, every release is evaluated, and every token is attributed to a team, feature, or customer.
Why LLMOps and observability on AWS Traditional application monitoring tells you a service is up, not whether its answers are right or affordable. GenAI needs tracing across prompts, retrievals, and tools, automated quality checks, and cost controls built in from the start. Fission Labs, an AWS Advanced Tier Services Partner with the AWS Generative AI Competency, builds this layer on Amazon CloudWatch, AWS Distro for OpenTelemetry, and Amazon Bedrock.
What you get: GenAI you can see and govern
- End to end tracing: OpenTelemetry traces across every model call, retrieval, and tool step, viewable in Amazon CloudWatch and AWS X-Ray
- Automated evaluation: RAGAS and task specific eval pipelines that score faithfulness, relevance, and accuracy on every release
- Hallucination and drift detection: alerts when answer quality, grounding, or input patterns move outside agreed thresholds
- CI/CD for prompts and RAG configs: versioned prompts and retrieval settings promoted through AWS CodePipeline with eval gates
- Token FinOps: cost attribution by team, feature, or tenant, with budget caps and alerts before overruns
- AI coding governance: extend the same budget caps, model access rules, and attribution to your developers' AI coding tools with CodeVector, built by FloTorch
Proven results: DaaX DaaX needed AI generated SQL it could trust across many customer environments. We built a validation layer that checks every query before it reaches the database, with a full record of each query, its validation status, and outcome.
- 100% query governance across customer environments
- Zero manual onboarding for new tenants
Security and governance Traces, prompts, and evaluation data stay in your AWS account, encrypted with AWS KMS and controlled through AWS IAM. Sensitive fields can be masked before logging, and the audit trail shows what the system did, which model version did it, and why.
How we engage
- Assess: review GenAI workloads, current monitoring, and cost exposure
- Instrument: add OpenTelemetry tracing across models, retrievals, and tools
- Evaluate: build eval datasets and automated quality pipelines
- Govern: set up prompt CI/CD, drift alerts, and token budget caps
- Hand over: deliver dashboards, alert runbooks, and knowledge transfer
Who this is for
- Teams running GenAI in production without visibility into quality or cost
- Platform and SRE teams responsible for multiple GenAI workloads
- Organizations that need an audit trail for AI decisions
Get started Contact us for a free scoping call to review your GenAI workloads, current monitoring, and cost goals.
Highlights
- Fission Labs has delivered 250+ projects for 100+ clients as an AWS Advanced Tier Services Partner with the AWS Generative AI Competency. For DaaX, we built a validation and audit layer that achieved 100% governance of AI generated SQL across customer environments. Every build instruments observability from the first deployment, not after the first incident.
- We trace every model call, retrieval, and tool step with OpenTelemetry into Amazon CloudWatch and AWS X-Ray, and run RAGAS and task specific evals on every release. Prompts and RAG configs move through AWS CodePipeline with eval gates, so quality regressions are caught before users see them.
- Token costs are attributed by team, feature, or tenant, with budget caps that prevent surprise invoices, and CodeVector extends those controls to AI coding tools. Audit trails record which model version answered and why. You receive dashboards, alert runbooks, and knowledge transfer so your team can operate and extend LLMOps independently.
Details
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Delivery method
Deployed on AWS
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Support
Vendor support
Fission Labs supports you from scoping through production and handover. As an AWS Advanced Tier Services Partner with the AWS Generative AI Competency, we deliver every build with a named team and clear response times.
Contact Channels
- Email: info@fissionlabs.com
- Web: https://www.fissionlabs.com
- Business hours: Monday to Friday, 9 AM to 6 PM PT and CT (Sunnyvale and Dallas) and 9 AM to 6 PM IST (Hyderabad)
Before the Engagement
- Free scoping call to review your GenAI workloads, current monitoring, and cost goals
- Acknowledgement of all inquiries within 2 business days
During the Engagement
- Dedicated delivery lead as your single point of contact
- Shared collaboration channel for day to day coordination
- Regular progress reviews with trace coverage, evaluation, and cost metrics
- Response times as per the agreed SLA
After Delivery
- Knowledge transfer sessions, architecture documentation, and operational runbooks
- Hypercare support as per the agreement or the agreed scope of work
- Option to extend into ongoing LLMOps operations and new workloads
For contract terms, or private offer questions, contact info@fissionlabs.com .