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What we shipped and what changed

Results

Operational systems, AI workflows, models, and infrastructure that show how we turn difficult work into reliable systems.

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Client outcomes

Selected work across operations, applied AI, platform engineering, and systems that have to perform under real constraints.

Fintech / Private-Market CRE Investing

Replatforming EquityMultiple from Heroku to AWS

EquityMultiple · AWS Migration and Platform Engineering

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EquityMultiple

Key results

  • Moved the application platform from Heroku to AWS ECS
  • IaC'ed the AWS infrastructure so changes are versioned and reviewable
  • Added WAF, GuardDuty, Security Hub, and CloudFront JA3 protections
  • Built CI/CD paths for repeatable application and infrastructure delivery
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Ovant
Customer Success / SaaS

Operating Intelligence Platform for Customer Success

Ovant · AI Operating Intelligence POC

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Ovant

Key results

  • Delivered an investor-ready demo around account handover and renewal risk
  • Built three role-specific dashboards for AM, Head of CS, and COO workflows
  • Connected renewal countdowns and risk signals to evidence trails
  • Linked signals, actions, captures, and completion evidence in one operating loop
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Shokolino
Bakery / Retail Operations

Bakery Operations Platform & E-Commerce Backbone

Shokolino · Full-Stack Platform Development

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Shokolino

Key results

  • Unified catalog, orders, production, inventory, and closing workflows
  • Central catalog now feeds internal operations and the public website
  • Touch-friendly production UI for workshop terminals and tablets
  • Eliminated duplicate data entry across systems
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Mindnest
AI / Career Development

AI Career Platform Built from Idea to POC

Mindnest · End-to-End Product Development

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Mindnest

Key results

  • Idea to working POC in 12 weeks
  • Complete AI-powered career assessment engine
  • Scalable cloud architecture on AWS
  • Working POC with user authentication and personalized recommendations
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Invacu
Industrial Engineering

AI-Enablement for Engineering & Development Teams

Invacu · AI Training & Consulting

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Invacu

Key results

  • AI-powered diagramming and technical documentation workflows
  • Simulation-assisted design validation using LLMs
  • AI-augmented software development with code generation and review
  • Custom internal AI tooling for process automation and knowledge management
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Itemizer
AI / E-Commerce

Full-Stack Technical Consulting for AI E-Commerce Platform

Itemizer · Technical Consulting

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Itemizer

Key results

  • Complete system architecture for distributed scraping at scale
  • Optimized tech stack and tooling for rapid development
  • Production-ready CI/CD with automated testing and deployment
  • Scalable AI pipeline architecture for product generation
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Government / Security

Visitor Management System for National Security Facility

Bulgaria State Reserve · Custom Desktop Application

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Bulgaria State Reserve

Key results

  • 2+ years in continuous production use
  • Complete visitor lifecycle tracking with entry/exit timestamps
  • Integrated ID document scanning hardware on-site
  • Historical records search and visitor permit printing
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Products and platforms

Pick a card from the deck. Each entry is labeled by ApplauseLab's role, and every product runs on the same Atelier core.

atelier.applauselab.ai
Atelier workspace demo
Flagship

Atelier : The operating core behind our supervised AI work.

Atelier connects company context, AgentPacks, tools, review points, and traceable execution in one system. It supports operational work developed with Mainstack and our own managed delivery.

  • Company context and AgentPacks
  • Tools, review points, traceable runs
  • ServiceNow Architect developed with Mainstack
How Atelier powers our work

Models built for operating work

We train and publish models shaped by real company workflows. Technical releases ship through Hugging Face.

Text Generation · Apache-2.0

bankai-v1

One-step agent orchestration model

Given a task, bankai-v1 selects one specialist worker and emits a complete, execution-ready delegated instruction as strict JSON. Fine-tuned on Qwen3-Coder-Next with MLX QLoRA and shipped as fused MLX 4-bit and GGUF Q4_K_M builds.

Base model
80B MoE
Active / token
~3B
LoRA trainable
2.86M
Formats
MLX 4-bit · GGUF
View on Hugging Face
ApplauseLab/bankai-v1
$ bankai route "Design a GDPR-compliant CRM integration"
{
  "action": "call_agent",
  "agent": "compliance_specialist",
  "model": "auto",
  "instruction": "A complete execution-ready instruction for the worker",
  "context_refs": ["user_request"],
  "expected_output": "completed_task_with_evidence",
  "budget": { "max_tokens": 4096 }
}
10/10 Strict JSON validity 10/10 Runtime schema validity 10/10 Worker-routing accuracy
Open ApplauseLab/bankai-v1

More models are in training on real operating workflows. Follow ApplauseLab on Hugging Face for releases.

Infrastructure we build in public

Reusable tools for agents, workflows, memory, and reliable AI-assisted development. Pull one off the shelf.

TypeScript

Simple Memory

opencode-plugin-simple-memory

Persistent memory for OpenCode agents across sessions.

View on GitHub Go

Bachkator

bachkator

A build system for reliable, repeatable agent loops.

View on GitHub TypeScript

OpenTUI Effect

opentui-effect

An effect-native Elm Architecture runtime for OpenTUI applications.

View on GitHub TypeScript

Snitch

snitch

OpenCode narration powered by Kokoro.

View on GitHub
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