AI-first delivery
Our proposition model: Dockerized AI agents as the core — plus custom apps, APIs, and workflows that scale with precision and safety.
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Dockerized AI Agents
Our differentiator: agents in Docker, running in your environment with strict guardrails.
Custom Digital Builds
Web & mobile apps, APIs, and automations built with precision and speed.
Safe & Scalable
Agents run in Docker with guardrails, logs, and human approval where it matters.
Connect agents to your tools & data
We use MCP servers to expose only the capabilities agents need—safely, with least privilege, full auditing, approval gates, and per-environment credentials.
SQL Databases
- Postgres, MySQL, MSSQL, SQLite
- Read-only queries; parameterized writes
- Approval gates for schema changes
Files & Docs
- Google Drive, Dropbox, S3, GCS
- Structured extraction and summaries
- PII-aware redaction & retention rules
Design Systems
- Figma file parsing & component inventories
- Spec diffs and handoff checklists
- Design QA with human approval
Codebases & CI
- GitHub/GitLab read; PR templating
- Static checks; test summaries
- Optional PR creation behind approvals
SaaS & APIs
- Notion/Confluence, Jira/Linear, HubSpot
- Salesforce, Shopify, Stripe, custom REST
- Scoped tokens; rate & policy limits
Messaging & Email
- Slack/Teams triage; Gmail/Outlook
- Pre-drafted replies with HITL
- Audit trail of all messages
Security & governance
- Least-privilege scopes; per-agent service accounts
- Secrets vault, key rotation, and environment isolation
- Human-in-the-loop approvals for sensitive actions
- Comprehensive logs for requests, prompts, outputs
Bring your own tools
Have internal systems or niche SaaS? We add new MCP servers or custom adapters fast—without exposing more than necessary.
Ask about your stackAI Agents & Automations
Replace manual effort with digital colleagues running safely in your environment.
Key Features
Invoice Processing
Classify, extract and reconcile with your systems
Lead Qualification
Automate enrichment, scoring and handoff
Customer Service Triage
Route, summarize and resolve faster with oversight
Workflow Automation
Trigger actions across your tools safely
What You Get
Timeline
Pilot agent with your data
PoCs & Prototypes
Transform ideas into working prototypes in weeks, not months
Key Features
Lightning Fast
Working prototype in 2-4 weeks
Risk Mitigation
Test viability before full investment
Market Validation
Real user feedback on your concept
Stakeholder Buy-in
Tangible demos for investors
What You Get
Timeline
Rapid discovery and prototyping
Mobile & Web Apps
Beautiful, performant applications that users love
Key Features
Cross-Platform
iOS, Android, and web from one codebase
Performance First
Optimized for speed and efficiency
Secure by Design
Enterprise-grade security standards
User-Centric
Intuitive UX that drives engagement
What You Get
Timeline
MVP build across platforms
APIs & Connectors
Seamlessly connect your systems and unlock data potential
Key Features
Universal Integration
Connect any system or service
Real-time Sync
Instant data synchronization
Secure Transfer
End-to-end encryption
RESTful & GraphQL
Modern API architectures
What You Get
Timeline
Core connectors and testing
Dockerized AI agents
Simple mental model: an AI agent is a small app in a box. The box only gets the keys you give it, logs everything it does, and can ask a human for permission.
1) Agent as a container
Each AI agent runs inside its own Docker container. Think of it as a safe, sealed box with its own tools and rules.
2) Safe by default
We control what the agent can access (files, APIs, databases). No access = no risk. Everything is auditable.
3) Connect your systems
Agents talk to your CRM/ERP/webshop via secure connectors or APIs you approve.
4) Human-in-the-loop
Important actions can require human approval. You see what the agent did and why.
5) Scale one by one
Start with one agent (invoice bot). Add more quarterly (leads, triage, workflows).
6) Runs in your environment
We deploy containers on your server or cloud. Your data stays where you want it.
Under the hood, we use containers, environment variables, access tokens, scoped API keys, and observability to keep agents controlled and useful. You choose the data flow; we enforce guardrails.