Stop trusting one AI.

One question. Multiple intelligences. One answer.

Keplar asks multiple intelligences, finds where they agree, investigates where they don't, and gives you one synthesized answer.

Question

Should our company expand into Japan next year?

One question enters the system.

Distribution

Keplar-One decides who to ask.

Not every model, every time. Only the intelligences this question needs, weighed by quality, reliability, latency, and cost.

Responses

Each answers on its own.

Different reasoning. Different evidence. Some responses align. Some don't.

Disagreement detected.

5 agree. 1 doesn't.

Verification

Evaluation, not voting.

Keplar weighs the evidence and reasoning behind each response. Related evidence gathers, contradictions separate, noise falls away. The minority can be right.

Convergence

ONE ANSWER.

Synthesized from what held up, with its confidence shown.

Japan expansion
Illustrative example

Should our company expand into Japan next year?

Keplar Answer

87%Consensus5 agree1 disagrees

Yes, but stage it. Start with a partner-led pilot in the second half of next year rather than opening a local entity immediately.

The analyses agree on the opportunity and the strategic fit. The open question is timing: localization and longer enterprise sales cycles could make a full launch expensive before demand is proven. A pilot tests those costs directly, and keeps the option to scale in the following year.

  • Five intelligences recommended expanding next year. One recommended waiting. Consensus reflects agreement after verification, weighted by the strength of evidence. It is not a vote count, and it can be wrong.

Keplar-One

The intelligence behind the intelligences.

Keplar-One is the layer above the models. It decides which multiple AI models a question actually needs, compares what they say, checks what holds up, and writes one answer.

RouteOnly the models this question needs.

Not every model, every time. Each candidate is weighed by quality, reliability, latency, and cost, and only the useful ones are asked.

Quality×Reliability×Latency×Cost

In the example

6 intelligences selected. Others were available and not needed.

Creation

From answers to outcomes.

The same intelligence that answers can build: websites, apps, images, video, code, and research, organized into one project.

  • WebsiteLanding page · 4 sections
  • AppMobile prototype · 6 screens
  • ImageCampaign key visual
  • VideoLaunch film · 0:32
  • Codepricing.ts · 142 lines
  • ResearchMarket brief · 12 sources

Agents

Keplar doesn't stop when you close the tab.

On Business, autonomous agents keep working overnight: researching, building, and preparing changes. Anything consequential waits for you.

  1. Research completed
  2. Competitor analysis completed
  3. Report generated
  4. Application updated
  5. Production deployment awaiting approvalApproval required

Autonomy without losing control.

Every agent runs inside limits you set, and every action is recorded.

  • Hard spend caps
  • Audit logs
  • Human approval gates
  • Granular, tool-level permissions
  • Secrets isolation
  • Sandboxing
  • Production deploy approval
  • Payment approval
  • Rollback
  • Escalation
  • Emergency stop
Competitor monitorRunning
Spend
$427 / $2,000
Production deployment
Approval required
Tools
6 authorized
Audit log
147 actions recorded

Enterprise

Autonomy, inside a boundary you define.

Agents work within a transparent perimeter: every limit visible, every action attributable, nothing consequential without a person.

Spend cap
Hard limits per agent, per run, and per team. Agents stop at the cap.
Permissions
Granular, tool-level access. Agents only touch what they are allowed to.
Audit log
Every action recorded with who, what, when, and why.
Approvals
Human gates for deployments, payments, and anything irreversible.
Secrets
Credentials isolated from models and prompts, scoped per tool.
Deployment
Production changes wait for approval, with rollback ready.

Pricing

Simple plans. Compute you can see.

Start free. Upgrade when you need more orchestration, creation, or agents. Usage is measured in Keplar Compute, not raw tokens.

  • Free

    $0forever

    Keplar-One with free and open models.

    • Keplar-One orchestration
    • Free and open model routing
    • Limited consensus
    • Basic web
    • Limited daily compute
    • Basic files
  • Keplar Plus

    $45per month

    Premium orchestration for serious daily work.

    • Premium orchestration and advanced Keplar-One
    • Larger consensus allowance
    • Deep Research
    • Web, coding, and file analysis
    • Website and app creation
    • Image and video generation
    • Larger context
    • Priority compute
  • Keplar Pro

    $99per month

    Much more compute, creation, and agents.

    • Everything in Plus
    • Much more compute
    • Advanced creation
    • Advanced agents
    • Larger context
    • Higher priority and concurrency
  • Business

    CustomTailored to your company

    Answer, then Create, then Act.

    • Autonomous agents that keep working after the tab closes
    • Hard spend caps and human approval gates
    • Granular and tool-level permissions
    • Audit logs, rollback, and emergency stop
    • Secrets isolation and sandboxing
    • Production deploy and payment approvals

What could Keplar do for you?