Visibility & Event Intelligence
Track, validate, and understand every event in your systems — in real time.
What it is
We build event intelligence and observability systems that give your teams full visibility into what is happening across AI workflows, data pipelines, and operational processes — so you can trust your systems and act on reliable data.
Systems we design and deliver
AI System Observability Platforms
End-to-end observability for AI systems — tracking every inference, decision, and action with latency, accuracy, and failure rate metrics in real time.
Event Tracking & Analytics Pipelines
Reliable event collection, validation, and analytics pipelines that ensure your product and business data is accurate, complete, and trustworthy.
Operational Dashboards
Real-time dashboards that surface the metrics that matter to your operations team — not generic charts, but purpose-built views for your workflows.
Data Quality & Validation Systems
Automated data quality checks that validate incoming data at the source — catching schema violations, missing fields, and anomalies before they propagate.
From intake to production
Define
We define what matters to track — key events, metrics, SLOs — working backwards from the decisions your team needs to make.
Instrument
We instrument your systems with event tracking at the right granularity — not everything, the right things — with consistent schemas and validation.
Pipeline
We build the data pipeline that collects, validates, transforms, and stores events reliably at scale.
Surface
We build dashboards, alerts, and APIs that surface insights to the right people at the right time — operational teams, engineers, and leadership.
Who we build this for
Common questions
What is event intelligence and why does it matter for AI systems?
Event intelligence is the practice of capturing, validating, and analysing every significant event in your systems — AI decisions, workflow transitions, user actions, errors. Without it, you cannot tell if your AI system is performing correctly, improving, or silently failing.
How is this different from standard application monitoring (e.g., Datadog, New Relic)?
Standard APM tools monitor infrastructure and application performance. Event intelligence focuses on business and AI events — what happened, why, and what should happen next. Both are needed; we build the business event layer that APM tools don't cover.
Can you work with our existing data warehouse or analytics stack?
Yes. We design event pipelines that feed into your existing BigQuery, Redshift, Snowflake, or ClickHouse infrastructure — or we recommend and build the right storage layer if one doesn't exist.
How do you ensure data quality in event pipelines?
We build validation at the point of collection — schema enforcement, type checking, completeness checks, and anomaly detection. Bad events are flagged and routed for review rather than silently written to the warehouse.
How long does it take to deploy an event intelligence system?
A focused event intelligence implementation — covering a specific workflow or AI system — typically takes 4-8 weeks. Full observability platforms across multiple systems take 8-16 weeks.
Let’s identify the highest-leverage
system for your business.
We’ll review your workflows, prioritize the right opportunity, and define a practical path from concept to production.
Start a system reviewResponse within 1 business day.