Private software for data, AI, and the work around them.

Lambspring Labs builds products and custom systems for financial and information-intensive work—from recurring data collection and reporting to applied AI and private knowledge tools.

  • On your hardware
  • In your private cloud
  • Lambspring Labs-managed
See the product family
Modular by designOne product or a composed system
Private by placementYour hardware, cloud, or ours
Built to connectAPIs, files, databases, and tools
Human-directedExplicit controls and ownership

Selected operating stack

Proven infrastructure, assembled for the boundary.

Lambspring systems combine purpose-built software with established tools for automation, observability, private connectivity, local models, data operations, and secure delivery.

How these tools fit Lambspring systems
Python

Bluewater API clients, workflow code, schedules, analysis, and report generation.

Docker

Portable service packaging for development, testing, and controlled deployment.

Kubernetes

Container orchestration for services that need repeatable deployment and scaling.

Linux

A stable operating base for data services, automation, and local model workloads.

SQL Server

Structured operational and financial data with mature tooling, controls, and reporting support.

Grafana

Service health, operational telemetry, and run visibility.

Tailscale

Private host-to-host connectivity across controlled deployment boundaries.

Ollama

Local model execution when analysis should stay inside the environment.

OpenClaw

Persistent agent workflows and human-facing coordination around applied AI systems.

Microsoft IIS

Self-hosted private delivery, knowledge, and future portal surfaces.

See how Meridian fits an existing environment

Representative deployment components; the exact stack follows each environment. Third-party names and marks belong to their respective owners and do not imply endorsement.

Reporting

A clean brief, not another dashboard.

Meridian can produce scheduled morning, closing, and weekly briefs. The fact layer reconciles first; when Compass is included, model commentary remains attributed and visibly separate.

  • Coherent account and market snapshots
  • Source-linked headlines and explicit unknowns
  • Attributed model perspectives with one synthesis
  • Private PDF, email, or portal delivery, with optional branding
LambspringPrivate client
Morning overviewIllustrative report
Prepared for you

Good morning.

Your accounts at the latest covered close, together with the context that may matter before the day begins.

Prior close completeHoldings checked
Coverage noteThe fact layer reconciles before any model commentary is added.
Verified account snapshotFacts before interpretation
Account dataVerified
Information windowCurrent
Model reviewAttributed
Your account briefing

Confirmed holdings, completed-session prices, market context, and relevant news are organized into one readable morning view.

AI house viewPlain-language synthesis

Multiple model perspectives are compared and distilled into the few items worth your attention, while verified figures remain clearly separate.

Lambspring Labs solutions

Build, connect, deploy, and support what your work needs.

Projects can use Meridian, connect to your existing software, or stand entirely on their own. You work directly with the person designing and building the solution.

CS

Consulting and systems design

Practical guidance on workflows, architecture, infrastructure, privacy, AI strategy, and software that is not doing what it should.

Explore consulting
CI

Custom software and integrations

Focused applications, APIs, feeds, databases, reports, automations, and AI services for financial and information-intensive work.

Explore builds & integrations
SO

Deployment and support

Production deployment, monitoring, troubleshooting, maintenance, and managed operation on your infrastructure or ours.

Explore support

Start with one recurring workflow

Bring the sources, the boundary, and the output people actually need.

We will define a bounded first deployment, prove it in operation, and leave ownership clear—whether the result runs in your environment or ours.

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