Lab Status · Active · 30+ Systems Running in Production

From AI ideas to systems that run your business.

We design, validate, deploy, and scale AI systems built for real operational environments — not isolated prototypes. Every system is tested under real-world constraints of cost, scale, latency, reliability, and security before it ever reaches production.

30+
AI Products Delivered
12+
Countries in Production
6w
Avg. Time to Production
99.95%
Uptime SLO
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FOUNDATION MODELS TESTED · OpenAI GPT-4o · Anthropic Claude · Google Gemini · Mistral · Llama 3AGENT SYSTEMS · Up to 50 concurrent agents orchestrated in productionDEPLOYMENT · AWS · Azure · GCP · On-Premise · HybridCOMPLIANCE · NATO · ISO 42001 · ISO 9001 · ISO/IEC 20000-1DATA RESIDENCY · Customer-controlled · Air-gapped options availableFOUNDATION MODELS TESTED · OpenAI GPT-4o · Anthropic Claude · Google Gemini · Mistral · Llama 3AGENT SYSTEMS · Up to 50 concurrent agents orchestrated in productionDEPLOYMENT · AWS · Azure · GCP · On-Premise · HybridCOMPLIANCE · NATO · ISO 42001 · ISO 9001 · ISO/IEC 20000-1DATA RESIDENCY · Customer-controlled · Air-gapped options available
[L/01]Core Principles

Our AI architectures are designed to evolve alongside you.

We research so you don't have to — across every foundation model, deployment environment, and compliance framework that matters.

P/01 · DEPLOYMENT

Self-Hosted by Default

Your data stays exactly where you put it. We architect systems that run inside your perimeter — no external model calls, no data leaving your environment.

Air-gapped deployments available
Rigorous audit trails built-in
Full control of model weights
P/02 · MODELS
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Model-Agnostic

We work with OpenAI, Anthropic, Gemini, Mistral, Llama — or whatever foundation model comes next. No allegiance to any single vendor's roadmap.

Tested on real-world performance
Not arbitrary benchmark scores
Continuous model evaluation
P/03 · INFRASTRUCTURE
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Cloud-Agnostic

Seamless deployment across AWS, Azure, Google Cloud, hybrid, or fully on-premise environments. We architect for the infrastructure you already have.

AWS · Azure · GCP certified
Hybrid and on-prem patterns
No single-cloud dependency
P/04 · OWNERSHIP

No Vendor Lock-In

Everything we build, you own. Every line of code, every model configuration, every architecture decision is documented and transferred to your team.

Full IP transfer on completion
Source code delivered to you
Capability transfer to internal teams
[L/02]The Lab

Everything we deploy is rigorously tested against real environments — not sandboxes.

Our lab runs continuous research across five critical domains. Select a domain to see what we've learned.

Research Domain · R/01

New Foundation Models

We test every significant foundation model release against real production workloads — not synthetic benchmarks. Our evaluations measure latency under load, cost per token at scale, accuracy on domain-specific tasks, and behavior under adversarial conditions.

  • Evaluated against real production workloads, not academic benchmarks
  • Side-by-side testing across OpenAI, Anthropic, Gemini, Mistral, and open-weight models
  • Domain-specific accuracy measured in finance, healthcare, legal, and operations contexts
  • Latency profiling under concurrent load matching client production traffic
[L/03]What We Deliver

AI integrated directly into your workflows, products, and decision-making environments.

D/01 · OPERATIONSAI FOR OPS

AI for Operations

Intelligent operational assistants, workflow automation, real-time monitoring, and predictive insights that make your operational teams measurably faster.

  • Intelligent operational assistants
  • Workflow automation pipelines
  • Real-time monitoring & alerting
  • Predictive operational insights
D/02 · BUILDERSAI FOR ENGINEERING

AI for Builders

Automated testing, QA bots, AI operational agents, and parallelized multi-agent software delivery ecosystems that compress delivery timelines by 60–70%.

  • Automated testing & QA bots
  • AI operational delivery agents
  • Multi-agent software pipelines
  • Parallelized release automation
D/03 · FINANCEAI FOR CFO OFFICE

AI for Finance

Financial intelligence agents, automated reporting, data normalization pipelines, and real-time executive decision-support that compress reporting cycles from weeks to hours.

  • Financial intelligence agents
  • Automated reporting pipelines
  • Data normalization at scale
  • Real-time executive decision-support
D/04 · PEOPLE & ORGSAI FOR TRANSFORMATION

AI for People & Organizations

Custom AI coaching assistants, hands-on enablement training, and enterprise-wide AI transformation strategies that build lasting internal capability — not dependency.

  • Custom AI coaching assistants
  • Hands-on enablement training
  • Enterprise AI transformation strategy
  • Internal capability transfer
[L/04]AI Scaling Framework

The Lab proves what works. The Scaling Framework makes it scale.

We help organizations transition from isolated pilots to repeatable systems with measurable ROI across three integrated layers. No more AI experiments that die in a boardroom deck.

Layer 01
Guide
Governance & Control
AI Risk & Compliance
Frameworks That Match Your RealityImplementing AI risk and compliance frameworks calibrated to your industry, regulatory environment, and risk appetite — not generic templates.
Model Lifecycle Management
Governance From Day OneFull lifecycle tracking across model versions, training data provenance, deployment history, and performance drift — with automated alerting.
Data Standards
Strict Standards, EnforcedData classification, residency controls, and access policies enforced at the infrastructure level — not just documented in policy.
Layer 02
Build
Value Management
ROI-Driven Prioritization
Only What Pays BackWe evaluate every AI initiative against measurable business outcomes before a line of code is written. If we can't model the ROI, we don't build it.
Active Portfolio Tracking
Live Dashboard, Not Quarterly ReportsYour AI portfolio tracked in real-time — deployment status, performance metrics, cost vs. impact ratios — visible to executive stakeholders.
Cost vs. Impact
Optimization at Every LayerFrom inference cost per call to total cost of ownership at scale, we optimize ruthlessly so production-quality results don't burn through API budgets.
Layer 03
Equip
Delivery Enablement
Standardized Architecture
Reusable by DesignStandardized AI architecture patterns and reusable components so every new system builds on proven foundations — faster, cheaper, more reliable.
Embedded Delivery Squads
Inside Your Team, Not Beside ItOur AI engineers work embedded in your delivery teams — not as external consultants — building institutional knowledge with every sprint.
Capability Transfer
Your Team Leaves StrongerStructured knowledge transfer that empowers your internal teams to own, operate, and extend AI systems after we're done. Dependency-free by design.
[L/05]Systems in Production

20+ AI products across 12+ countries. Running now.

These aren't case studies on a shelf. These systems are running in production, generating measurable business impact every single day.

SYSTEM / 01
60–70%
faster software delivery cycles through a 20-agent orchestration system
AI for BuildersMulti-AgentSoftware Delivery

Virtual Software Agency

What It Is
A 20-agent system that operates as a fully automated software delivery agency — planning, coding, testing, and releasing with minimal human intervention.
How It Works
Specialized agents handle QA, planning, and release steps in parallel. A coordination layer manages handoffs, conflict resolution, and delivery state.
Measured Impact
Delivery cycles compressed by 60–70%. Automated QA reduced regression escape rate to near zero. Fully production-validated across enterprise clients.
SYSTEM / 02
3×
increase in coaching interactions with zero data leakage
AI for People & OrgsOn-PremiseUS Enterprise

AI Coaching Assistant

What It Is
A fully on-premise AI coaching assistant deployed for a US Enterprise — delivering personalized coaching at scale without any data leaving the organization's perimeter.
How It Works
Self-hosted LLM with fine-tuned coaching capabilities, integrated directly with HR systems. All inference runs on client infrastructure — zero external API calls.
Measured Impact
3× increase in coaching interactions. Zero data leakage events. Compliance with enterprise data residency requirements. Reduced HR coaching overhead significantly.
SYSTEM / 03
48h
reporting cycle, down from two full weeks
AI for FinanceFinancial IntelligenceReporting Automation

Financial Intelligence Agent

What It Is
An AI agent that automates financial data aggregation, normalization, and executive reporting — replacing a manual two-week cycle with a fully automated 48-hour pipeline.
How It Works
Multi-source financial data ingestion, AI-driven normalization, anomaly detection, and narrative generation. Outputs structured reports in formats ready for board-level review.
Measured Impact
Reporting cycle reduced from two weeks to 48 hours. Finance team hours on manual aggregation down by over 80%. Real-time executive visibility achieved.
SYSTEM / 04
70%
efficiency increase for a UK property platform
AI for OperationsComputer VisionUK Real Estate

Real Estate Media Pipeline

What It Is
An AI-powered media processing pipeline that automatically enhances, classifies, and publishes property images at scale — replacing a largely manual media workflow for a UK property platform.
How It Works
Computer vision models handle image quality assessment, enhancement, tagging, and compliance checking. Output feeds directly into the client's listing platform.
Measured Impact
70% efficiency increase in media processing. Time from photo shoot to live listing compressed dramatically. Consistent image quality across all property listings.
SYSTEM / 05
2h
infrastructure inspection time, down from a full working day
AI for OperationsDrone VisionTelecom

Telecom AI Inspection

What It Is
An AI inspection system for telecom infrastructure using drones and computer vision — reducing the time required to inspect towers, cables, and equipment from a full day to two hours.
How It Works
Drone-captured imagery processed in real-time by computer vision models. Faults, anomalies, and maintenance needs flagged automatically with severity scoring and geo-tagging.
Measured Impact
Inspection time reduced from a full day to two hours. Fault detection accuracy improved vs. manual inspection. Maintenance teams dispatched faster with prioritized issue queues.
[07] · AI Lab Inquiry

Build AI systems that deliver real business impact.

Tell us where AI could improve delivery, operations, security, or decision-making. We will come back within 24 hours with a concrete next step.

Response time
< 24h
First call
No-strings discovery
Languages
EN · DE · RO
Direct line
sales@weasweb.com