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Your AI Is Live. Now Keep It That Way.

AI systems don't maintain themselves. Models drift. Costs spike. Prompts break. Data goes stale. LLMOps is the discipline of running AI in production — and Futuralis manages it for you.
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The Problem With 'Set and Forget' AI

You launched the AI system. Your team celebrated. Three months later, accuracy is down 15%, costs are up 40%, and two prompts broke when you updated your product. Nobody knows why.
LLMOps is the answer: the practices, pipelines, and monitoring frameworks that keep AI systems performing in production — the way DevOps keeps applications running in production.
model accuracy after launch
↓ 0 %
AI running costs
↑ 0 %
prompts broke on a product update
0

What LLMOps Covers

Model Evaluation & Benchmarking
Automated test suites that continuously measure accuracy, relevance, toxicity, and latency — with alerts when metrics degrade below your defined thresholds.
Prompt Version Control
A managed prompt registry with version history, A/B testing, rollback capability, and environment-aware deployment (dev / staging / prod).
Cost Optimization & FinOps for AI
Per-request cost tracking, model selection optimization (routing simple queries to smaller/cheaper models), and monthly cost reporting with actionable recommendations.
Data & Knowledge Base Freshness
Automated pipelines to re-index your knowledge bases as source documents change — so your RAG system’s answers stay current.
Guardrails & Safety Monitoring
Continuous monitoring for prompt injection attempts, PII leakage, policy violations, and off-topic outputs — with incident alerting and audit trails.
Model Retraining & Fine-Tuning Triggers
Drift detection that identifies when your fine-tuned models need retraining — with managed retraining pipelines on Amazon SageMaker.

Delivery Options

Managed LLMOps
$3,500 /month, starting
Futuralis monitors, optimizes, and maintains your production AI systems.
  • Ongoing monitoring & optimization
  • Incident response SLA
  • Monthly performance report

Enterprise

Talk to an Expert
LLMOps Setup & Handoff

$20K one-time, from

We build your pipeline and hand it to your team, fully documented.
  • Evaluation framework & dashboards
  • Prompt registry & cost alerting
  • Full documentation & training
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AI Performance Audit

$4,500 in 5 business days

A point-in-time audit of an existing AI system.
  • Accuracy & cost analysis
  • Security review
  • Written report with prioritized fixes
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Technology Stack

The AWS managed services and Futuralis tooling behind every LLMOps engagement.
Amazon Bedrock Model Evaluation

Automated accuracy, relevance, and coherence scoring for Bedrock-hosted models.

Amazon SageMaker Model Monitor

Data drift, model quality, and bias detection for custom-trained models.

AWS Cost Explorer + Budgets

Granular cost tracking by model, use case, and business unit with automated budget alerts.

Amazon CloudWatch

Custom dashboards for latency, error rates, cost per invocation, and model-specific metrics.

Amazon Bedrock Guardrails

Content filtering, PII detection, topic controls, and grounding checks — always on.

Futuralis Prompt Registry (proprietary)

A lightweight open-source prompt management layer we've built on top of DynamoDB + S3, available to all clients.

Is Your Production AI Quietly Degrading?

Most teams don't find out until accuracy, cost, or safety has already slipped. Let's review your live AI and put the monitoring and pipelines in place to keep it healthy.
Schedule a Production AI Review

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