For AI capacity builders

One platform to plan, simulate and deliver AI capacity, with agents that find the global optimum across every site.

ComputeNow

  1. 01Find the gap
  2. 02Evaluate the options
  3. 03Replan the window
  4. 04Coordinate the work

01 · Problem

Every site.
One global optimum.

Data centers have different priorities, so we simulate all possible resource allocations to identify the global optimum. Each cell is one site-week across power, network, throughput and workable pairing.

8 sites · 13 weeksDisconnected plans
Revenue protected assumes eight midsize 50 MW sites at $18M per site-week. Illustrative example.

02 · Product

Telos works the plan

Find the gap. Evaluate the options. Replan when facts change. Coordinate the people.

Illustrative scenarios with synthetic data. Open full screen

03 · Workflow

From context to action

Materials, workforce, power, and delivery commitments belong in one resource and constraint model.

  1. 01

    Connect context

    Bring internal knowledge and external data into the same plan.

    ConnectionsContext inActions out
    Knowledge, conversations and systems of record become planning context. Approved actions go back out through the same channels.
  2. 02

    Simulate allocations

    Evaluate materials and workforce across sites to maximize usable capacity by the delivery date.

    Hall 1 · 48 racks · 4 network spines · power yardDrag to orbit · hover a rack, tray, busway or transformer

    Loading the 3D hall…

    Optics for rows C–D
    Cabling crews
    Power for rows C–D
    27 allocations simulated
    Live by Dec 6
    24 of 48
    Hall handoff
    Jan 16
    Added cost
    $0
    Revenue at risk
    $6.6M
      Every combination of optics, crews and power is simulated against the same constraint model. Revenue at $9.8K per rack-day; illustrative.
    • 03

      Execute and monitor

      Trace supply lanes, monitor risk, and coordinate approved moves with the teams doing the work.

      Supply network · 4 sites · 8 inbound lanesLateWatchOn trackTelos reroute
      Scenario
      PartRouteETAStatus
      Follow the parts back to their source, and see how Telos replans when a lane breaks. Illustrative scenarios.

    04 · Learning loop

    Every run makes the next one better

    Telos simulates every feasible resource allocation, plans and executes the approved moves, then validates and tests the outcome. What it learns feeds back into the next cycle.

    1. 01

      Simulate allocations

      Simulate every feasible allocation of materials, workforce and power across sites.

    2. 02

      Generate insights

      Find the constraint that binds and what each week of waiting costs.

    3. 03

      Resolve constraints

      Line up the moves that clear it: transfers, second sources and crews.

    4. 04

      Evaluate plans

      Price each plan by cost and revenue at risk, and test it against what could slip.

    5. 05

      Execute plans

      Coordinate the approved actions with suppliers and site teams.

    6. 06

      Validate outcomes

      Test the result against what happened on site, and feed it back into the next run.

    RSI learning loop: step 06 feeds back into 01.

    05 · Control

    You decide

    Telos does the analysis and prepares the work. Your team reviews the recommendation and approves the action.

    Each cycle carries your context, decisions, and validated outcomes forward.

    Explore the product workflow
    Needs your decisionIAD-04 · Hall B

    Close a 240-assembly fiber gap before the crew starts Nov 9

    Agents act only after a person approves.

    06 · Deployment

    Choose where your data lives

    Self-host in your own environment, or use our hosted service on infrastructure covered by our cloud provider’s ISO/IEC 27001:2022 certification.

    Self-hosted

    Telos in your environment

    Run Telos inside your own cloud or data center, on your network.

    Your data stays with you

    Hosted

    Our hosted service

    We run Telos for you, so your team can start without setting up infrastructure.

    Managed by ComputeNow

    Less waiting.
    More compute.

    See how Telos brings delivery constraints, options, and next actions into the same plan.

    For AI capacity builders.