Abacus AI

Real-Time Feature Store and Data Pipelines

Create feature groups from warehouses and streams, schedule transformations, and serve features online with low latency. Reusable features keep semantics consistent across models and teams, reducing duplication and drift. Lineage, schema tracking, and backfills keep training and serving aligned during rapid iteration. Freshness monitors and alerts surface delays before they affect accuracy, while ACLs and audit logs match policies. Connectors, cache hints, and rollbacks support safe iteration under load.

LLM Ops: RAG, Vector Search, and Guardrails

Abacus AI provides a managed vector store, embedding jobs, and chunking tools to wire retrieval into assistants. You can index documents, tune context windows, and evaluate responses for groundedness, toxicity, and leakage. Safety filters redact sensitive data before prompting, and policies block risky actions. Prompt variants and model choices can be A/B tested with telemetry, so answers improve without risking production quality. Dashboards track hit rates, latency, and cost/query so owners can cap spend and spot bottlenecks early.

End-to-End MLOps for Prediction

Train, deploy, and observe models for forecasting, recommendations, churn, and anomaly detection. Experiment tracking and versioned artifacts create an audit trail, while canary releases limit risk during updates. Dashboards show accuracy, latency, bias, and cost so owners act before users feel impact. Batch and streaming inference scale with traffic, and rollbacks restore stability when metrics regress. Schedules and triggers coordinate retraining, and feature backfills keep history consistent across teams.

Workflows, Roles, and Compliance

Workflow editors orchestrate data prep, training, evaluation, and deployment with approvals at each gate. RBAC, secrets management, and audit logs align projects to policy and regulatory rules. Exceptions can route to human review, while routine steps run automatically to maintain velocity. Change reviews, checklists, and tickets record accountability without delays. Templates standardize patterns for assistants, recs, and risk, while evidence and sign offs remain attached to runs for audits.

Integrations and Extensibility

Connect warehouses, lakes, message buses, and app backends, then trigger predictions through SDKs, APIs, and webhooks. Extend pipelines with custom evaluators and metrics, and stream events to close the loop from inference to action. Standard connectors reduce glue code, while notebooks and tests make changes safe to ship. Teams can plug in external registries, BI tools, and encoders, and emit telemetry for tracing and cost analysis. The platform supports sandbox to prod promotion.