The AI Efficiency OS for cloud and AI teams.

Continuously optimizing every layer of your stack — from cloud infrastructure to the coding agent. Understanding spend, fixing what's wrong, and letting you build on top of it.

See PointFive in action.

A short tour through Chat, Agents, and Apps — the three ways your team interacts with the AI Efficiency OS.

Cloud and AI spend have become the same problem. The tools managing them have not.

Cloud is still the largest line item in most infrastructure budgets. AI is the fastest growing one. The same teams are responsible for both. Most optimization platforms produce a list of recommendations — engineers act on them when they have bandwidth, and most never get actioned.

Three ways to interact with the OS.

Chat, Agents, and Apps are the interfaces. They share the same data, detection intelligence, and business context.

Ask any question about cloud or AI spend. Get the right answer in seconds.

  • Works across all PointFive data: spend, opportunities, anomalies, commitments, custom datasets.
  • Applies discount agreements, commitment amortization, credit logic, and allocation rules automatically.
  • Live artifacts that stay connected to data — pin to the homepage or share by URL.
  • Three modes: Ask, Produce, and Connect to other modules.
Chat producing a Cloud Cost Report artifact from a plain-language question

Drive optimization work from detection through to verified savings — without manual intervention.

  • Route each finding to the right owner with full context: root cause, risk, business impact, suggested fix.
  • Human-in-the-loop approval before any consequential action. Agents pause, notify, and only proceed when cleared.
  • Auto-create tickets in Jira and ServiceNow. Sync status back to PointFive.
  • Verify every completed action against actual billing data — not estimates.
Agents routing EBS snapshot remediation through a human-in-the-loop approval workflow

Build any application your team needs on top of PointFive's data.

  • Prebuilt on day one: Anomaly Detection, Savings Opportunities, Inventory, Commitments, Analytics.
  • Prompt a working application into existence with real-time preview and iteration.
  • Bring your own data: Google Sheets, CSV, SQL across managed and external sources.
  • Deterministic by design: AI builds once, the app runs as code. No hallucination on execution.
App generator building a savings leaderboard application on top of PointFive data

A data foundation built over three years. Not something you replicate with a prompt.

Chat, Agents, and Apps run on a four-layer foundation — the honest answer to 'why not just connect Claude to our AWS API?'

InfraFabric

Agentless, read-only deployment that normalizes cloud, data, and AI into a semantically aware model across 40+ integrations. Bring your own budgets, contracts, taxonomies, and external datasets — the platform works from your context. Handles the 30+ billing dimensions behind a question as simple as 'what did EC2 cost in February?'

DeepWaste

500+ proprietary detections across cloud, data, and AI. Root cause analysis with ownership and business impact built in. Not a rules engine — each detection comes from original research into how waste actually accumulates. Proof: Nubank surfaced 200+ waste types and recovered annual contract value in 10 days of POC.

PointFive Labs

The team behind DeepWaste. Continuously develops new detections, validates optimization logic against actual billing data, and tracks every change in cloud and AI pricing. New detections ship weekly. Customers benefit automatically.

Brain

Connects technical and business context across every interaction — powering Chat, Agents, and Apps. When you bring data into PointFive, the Brain creates a semantic layer that makes it available across every module. 'Cost,' 'team,' and 'spend' resolve to the same definition your organization set.

The visibility, control, and governance your engineering leaders do not have yet.

Most engineering leaders cannot answer basic questions about their team's coding agent spend. TokenShift is the first product built to solve that.

  • Visibility: spend by developer, team, model, session, and technique.
  • Control: model policies, spend caps by team, block specific tools or agent frameworks.
  • Governance: PII detection, non-work usage flagging, compliance rules, full audit trail.
  • Optimization: 10–20% token reduction across 11 design partners, no change to output quality.
  • Security: single Rust binary, fully on-device, pull-only telemetry.
PointFive TokenShift dashboard showing savings, performance, productivity, and governance metrics with team-level breakdowns

Lower cloud and AI spend. More efficient workloads. Engineers focused on building.

Connect your environment in under 15 minutes. PointFive starts finding savings immediately.