beacon platform · for professional engineers

Built to last,
not to demo.

For professional software engineers who hold their products to a high bar, whether that's one product or a whole product portfolio. Agents do the work, specs and tests keep it honest, and every decision is still there when you come back six months later.

  • On-prem or Swiss-hosted, your choice
  • No lock-in: your cloud, your model, your keys
  • Role-based access & encryption

Who this is for

Built for engineers who plan to stick around.

Built for

  • Engineers with a high quality bar, on one product or several
  • Products with a lifecycle measured in years, not sprints
  • A team of one that works like a team of ten

Not built for

  • Vibe coding
  • Weekend prototypes
  • Apps you plan to throw away

If the code only has to work today, you don't need us.

See it run

No promise. Watch the platform do the work.

One wave of engineering work: from planning through parallelization to an honest forecast. Every step a real screenshot from the running platform. No mockup, no slides.

  1. beacon · Board
    Plan: One board. Humans and agents.
    01 / 07Planreal

    One board. Humans and agents.

    Work starts as a planned task on the same board where humans and agents collaborate, traceable from the first line.

  2. beacon-ide
    Spec: Spec first, then challenged.
    02 / 07Specmock

    Spec first, then challenged.

    The agent writes a spec: invariant, acceptance criteria, API contract. A second agent challenges it and finds the gap. Then the OK-Point: the human signs off.

  3. beacon · Task
    Fan-out: One task, fanned out across many agents.
    03 / 07Fan-outreal

    One task, fanned out across many agents.

    The integrator delegates the wave to several sub-agents, each in its own ephemeral worktree, all in parallel.

  4. beacon · Agents
    Sovereignty: Your fleet. Your model.
    04 / 07Sovereigntyreal

    Your fleet. Your model.

    A roster of specialised agents does the work, each running your own model (here Kimi K2.6, non-Claude) on your infrastructure. Sovereign by design.

  5. beacon · Velocity
    Throughput: Parallelization you can measure.
    05 / 07Throughputreal

    Parallelization you can measure.

    More agents, more finished work per week. The throughput jump is not a claim: it is in the velocity curve.

  6. Argus · Platform watch
    Ops · Argus: Argus watches production.
    06 / 07Ops · Arguspreview

    Argus watches production.

    Read-only platform watch: CI, services, releases, message delivery. When something degrades, Argus messages the project on the same channel it uses for CI.

  7. beacon · Forecast
    Forecast: An honest forecast, uncertainty included.
    07 / 07Forecastreal

    An honest forecast, uncertainty included.

    Monte-Carlo p50/p85/p95 from measured throughput. When the forecast is unsure, it says so, instead of inventing a number.

What you get

One operating model, however many products.

One product or many

The same operating model whether you run one product or a whole product portfolio.

Specs and tests survive the lifecycle

Decisions stay traceable years after you made them, not just until the next release.

Agents that remember your codebase

Context does not reset between sessions, so agents keep working the way you left them.

An audit trail for every change

Every decision is still there when you come back, with the reasoning attached.

Continuous Improvement

Three sources of evidence. One shared improvement process.

beacon platform connects Workflow Frictions, Engineering Metrics and Production Monitoring. Together they show where work stalls, how much time and money it takes, and how the delivered systems hold up in operation.

These insights feed a continuous process: Observe → Improve → Measure → Adapt. Spot problems, make targeted changes, verify the effect and evolve based on the results.

Workflow Frictions

Every workflow run yields signals about how work is done. The platform captures friction: unclear specs, repeated corrections, blocked steps or avoidable effort. Recurring patterns give concrete starting points to improve workflows, engineering practices and guardrails.

Engineering Metrics

Systematically captured Lead Time and Cycle Time make the flow of work visible. Active cost tracking shows spend by model, workflow and task. These metrics are the basis for evaluating change: is work completed faster? Does the correction effort drop? Does a different model save cost at comparable quality?

Production Monitoring

Production monitoring brings insights from running systems back into engineering. A bug can trigger both a fix and an improvement to the check or the workflow that let it through. Subsequent releases show whether the addressed defect class recurs and how quality develops in operation.

Observe → Improve → Measure → Adapt

All three sources feed the same improvement process. Workflow Frictions help explain anomalies in the metrics. Engineering Metrics make effort and cost visible. Production Monitoring shows how the results hold up in the field.

Observe · Spot the pattern.

Look at friction, metrics and production signals together. Identify a concrete problem and record the baseline: what happens, how often it occurs, and what impact it has on time, cost or quality? That yields a testable improvement goal.

Improve · Make a targeted change.

Translate the observation into an improvement hypothesis and a concrete change. That might be an adjusted workflow, a more precise spec, an additional quality check or a different model choice. Record what is changed and what effect is expected.

Measure · Verify the effect.

Subsequent runs and releases provide the basis for comparison. Look at Lead Time, Cycle Time and cost before and after the change. Check whether the addressed friction or defect class recurs. Use comparable tasks and time frames, and evaluate quality, speed and cost together.

Adapt · Evolve with evidence.

Decide based on the results: keep a change that worked, refine one that partly worked, or rework an approach that did not fit. If the results are not yet clear, gather more observations. The insights flow back into how work is done, and the next round begins.

The foundation: Traceability, Control and Built-in Quality.

beacon platform connects traceable work steps, clear human decision points and integrated quality checks. That makes it possible to link observations, changes and subsequent results. Improvements are rolled out under control, and their effect is evaluated against the data captured.

The improvement is a hypothesis. Subsequent work provides the evidence.

Proof

Not a pitch deck. We build and operate real systems with it.

The platform isn't a promise. It's the engine behind every real client Beacon. Each one is evidence it delivers.

Externally confirmed

5-7×

One developer, 5x the outcome.

One human, the rest AI agents: that is how the beacon platform crew delivers the outcome of a full development team. Confirmed by an external co-founder, not a number we made up.

MatchpointCompleted

40

features

4

weeks

444

tests

27

releases

Patient portalCompleted

57

features

4

weeks

858

tests

12

releases

beacon platformOngoing

392

features

5

months

10,000+

tests

192

releases

See all Beacons

Pricing

One price, the whole platform.

SolopreneurCHF 200–500 / month

Private or commercial, full individual multi-agent power.

Early access: billing starts later. Access is by invitation.

How you start

Access is by invitation.

  1. Request access
  2. Receive your invitation
  3. Choose the Solopreneur tenant
  4. Create your project
  5. Set up your own main agent

beacon platform · early access

Request access

In active development · access by invitation

Access is by invitation. Leave your email and we'll send you one; from there you choose the Solopreneur tenant, create your project and set up your own main agent.