Agentic-Ready Infrastructure

Take Control of Your Observability Data
at Scale

Collect, process, and route logs, metrics, and traces to any destination.“Reduce costs” and eliminate vendor lock-in with a single high-performance pipeline.

Gartner® Magic Quadrant™ Visionary Observability Platforms, 2025

Trusted by Leading Enterprises

The Challenge

The Telemetry Cost & Growth Crisis

Observability budgets are at their breaking point and AI is about to make it exponentially worse.

AI and ML workloads generate 10–100x more telemetry than traditional applications, driving observability costs to unsustainable levels.
Legacy platforms charge for every byte ingested, forcing teams to either pay a platform tax or sacrifice visibility into critical systems.
Cloud modernization and microservices architectures further multiply data volumes while budgets stay flat, pushing observability spend to an unsustainable level.

This isn’t just a cost problem. It’s an architectural problem.

Traditional platforms weren’t designed for AI-scale telemetry. They store everything indiscriminately and charge at every step. That model breaks when a single AI agent generates more telemetry in an hour than an entire app stack produced in a day.

10-100x

Telemetry volume increase from AI workloads

3-5x

Data growth from cloud modernization

$500K+

Annual observability spend for AI enterprises

The Architecture Shift

Be Agentic-Ready With Apica

From Platform to Pipeline: Build telemetry infrastructure that powers AI, not platform costs.

For 15+ years, teams treated telemetry pipelines as “dumb pipes” shoveling data into “smart platforms.” That collapses under AI. Agentic systems demand millisecond-level context. If intelligence lives only after storage and indexing, your costs spike first and your agents learn later.

The Problem: Platform-Centric Thinking

Data is ingested (charged), stored (charged), and indexed (charged) before you see value
AI agents need real-time intelligence in milliseconds, not batch processing after storage
Platform vendors optimize for their revenue, not your efficiency
Scaling agentic workloads = 10x platform bill before generating value

Apica Inverts This Model

Process and enrich telemetry in the pipeline before expensive ingestion
Route intelligently — send only what needs indexing to expensive platforms
Store cost-efficiently in your data lake or ours (powered by InstaStore™)
Real-time access for both human operators and AI agents
Monitor multi-agent user journeys and automate testing continuously

This isn’t about replacing your observability platform. It’s about taking control of what reaches it, when, and at what cost.

Perfect For:

The Real Shift Left

Your Pipeline Becomes the Brainstem

Real intelligence isn’t trapped in your platform UI — it’s in your configs, CMDB, runbooks, evaluations, and post‑mortems. With Apica, enrich and standardize context at collection; govern routing based on business value; and enable instant “time‑travel” replay for audits or model evaluation — before indexing and without storage tax.

Why Now

The Telemetry Data Problem Is Accelerating

Every enterprise technology leader faces the same challenge: costs growing faster than budgets, with AI about to make it exponentially worse.

01 — Driver

AI Adoption

Organizations running AI POCs see manageable telemetry volumes. But production AI agents generate 10-100x more data. Most enterprises haven’t budgeted for this reality.

02 — Driver

Cloud Modernization

Kubernetes, microservices, and cloud-native architectures multiply the number of telemetry sources exponentially. Traditional tools weren’t designed for this cardinality.

03 — Driver

Compliance Requirements

Regulations demanding complete data retention conflict with observability platform pricing models. The cost of compliance is becoming prohibitive.

04 — Driver

Market Maturity

Enterprise CIOs and CTOs are taking notice. Organizations with large observability platform spend are reevaluating their entire approach based on cost of operations.

“This is the tip of the iceberg. Organizations experimenting with AI agents today haven’t felt the full cost impact yet. But it’s coming — and it’s going to force architectural decisions that can’t be undone easily.”

Mathias Thomsen
CEO, Apica

Take Control of Your Observability Data at Scale