Products
Data Quality App
AI-powered Data Quality monitoring
SQLift
Fast-track your migration to AI-ready Databricks architecture
FROST Suite
Automated Snowflake deployment and migration
SearchGPT
Search Documents with AI
lojipath
Advanced AutoML forecasting solution
ServerPAHL
Unlock the potential of Alteryx Server
AgentOps: A Databricks Brickbuilder Accelerator
Deploying and monitoring GenAI systems in production is a complex process, particularly when it comes to tracking performance and costs. Aimpoint Digital's AgentOps Framework, built on the Databricks Data Intelligence Platform, helps organizations move from proof-of-concept to production quickly and confidently. By combining best practices in deployment, monitoring, and evaluation, we reduce time-to-value while ensuring reliability, scalability, and cost efficiency.
Evaluation-first approach to deploying GenAI applications in production
Refine your pricing strategies by analyzing historical tests and promotions with our interactive price intelligence dashboards, built directly on Sigma for seamless exploration and decision-making.
Automated Deployment
Accelerate your Agent lifecycle with seamless development, testing, and deployment using Databricks Asset Bundles.
Observability & Monitoring
Access full insights into your GenAI pipeline, from model behavior to infrastructure health in real-time.
Prototype Databricks App
Launch your GenAI use case faster with a ready-to-customize Databricks app built for rapid deployment.
Ground Truth Builder
Establish reliable evaluation baselines with curated ground truth datasets to measure and improve LLM accuracy.
The AgentOps Framework includes:
Model Serving
Scalable deployment of GenAI applications on Databricks
CI/CD
Streamlined deployment and promotion of GenAI applications using Databricks Asset Bundles
Evaluation
MLflow framework for automated retrieval and generation evaluation, leveraging LLM-as-a-judge
Why choose Aimpoint Digital to accelerate your GenAI journey?
We bring together the best minds in software engineering, AI engineering, decision sciences, and cloud computing to create a talent base – not traditionally found in consulting – to focus on delivering tangible and pragmatic applications of Generative AI.
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