Taking on new projects / --:--:-- UTC
Powering Intelligent Systems.
Secure software, AI and integrations for companies with hard problems to solve.
// Mission
AI agents, MCP servers, automation, distributed platforms, integrations that can't fail. You bring the ambitious idea. We ship the version that survives production.
[01] Context
Engineering
for complexity.
Software doesn't live alone anymore.
Your product talks to APIs, old systems, AI models, data platforms, internal tools and a dozen third-party services. Every one of those connections is a place where things can break.
That's where we work: where software architecture, AI and systems integration meet.
[02] Capabilities
What we build.
- 01 / 04
AI & Intelligent Systems
AI built around how your business actually works.
- AI agents
- Conversational systems
- RAG
- Knowledge systems
- Intelligent automation
- MCP servers & tool use
- Modern AI models
Security ↓Zero PII reaches the model: personal data is redacted first. Prompt-injection defenses, scoped permissions for every MCP tool, and a record of every action a model takes.
- 02 / 04
Systems Integration
Scattered systems, connected into workflows you can trust.
- APIs
- CRM & ERP platforms
- E-commerce platforms
- Enterprise systems
- Data pipelines
- Internal tools
- Real-time communication
- Complex business processes
Security ↓Zero-trust service auth, managed secrets with rotation, and encryption on every hop.
- 03 / 04
Software Engineering
Products and platforms made to run for years.
- SaaS platforms
- Internal systems
- APIs
- Backend services
- Real-time apps
- Cloud infrastructure
- Modern web apps
Security ↓Secure SDLC, dependency and container scanning in CI, and hardened cloud configuration.
- 04 / 04
Architecture & Modernization
For systems that got hard to scale, integrate or change.
- Architecture design
- Legacy modernization
- Technical discovery
- Platform evolution
- Reliability
- Observability
- Performance
Security ↓Threat modeling, identity and access reviews, and a plan to close the gaps legacy systems leave open.
// Platforms
Deep inside the platforms you already run.
Enterprise work rarely starts from zero. We extend, connect and modernize the platforms your revenue already depends on, and open them to AI agents through MCP, without breaking what works.
WhatsApp
Business Platform- WhatsApp Business API, templates and flows
- AI agents that answer, qualify and sell in the chat
- Sync with CRM, helpdesk and order systems
- Opt-in, consent and data handling built for LGPD
HubSpot
CRM & marketing- Custom objects, workflows and private apps
- Two-way sync with ERP, e-commerce and billing
- MCP servers that let AI agents work on your CRM data
- Portal migrations that keep every record
Salesforce
CRM & service- Apex, Flows and Lightning components
- Integrations with ERP, data warehouse and legacy
- AI agents grounded in your Salesforce data
- Org cleanup, performance and data quality
Adobe Commerce
Magento- Custom modules and extensions
- Upgrades, security patches and performance tuning
- Headless storefronts and PWA
- ERP, PIM and OMS integrations
Shopify
Shopify Plus- Custom apps, Functions and checkout extensions
- Headless storefronts with Hydrogen
- ERP, PIM, OMS and marketplace integrations
- Migrations from Magento, Woo or VTEX, SEO intact
And the rest of your stack
- WooCommerce
- VTEX
- BigCommerce
- SAP
- Oracle
- Dynamics 365
- TOTVS
- Zendesk
- Stripe
- Mercado Pago
- Twilio
- MuleSoft
- Snowflake
- Databricks
- Contentful
- Algolia
- Slack
// Model-agnostic
The right model
for each job.
We have no favorite. We choose on quality, latency, cost and where your data is allowed to go, and many systems end up combining a few.
- ClaudeAnthropic
- OpenAIGPT
- GeminiGoogle
- JevTypeSafe
- ElevenLabsVoice
- MistralOpen weights
- LlamaMeta
- DeepSeekOpen weights
- PerplexitySearch
- Hugging FaceOpen models
- MCP
- Ollama
- LangChain
- Replicate
- AWS Bedrock
- Vertex AI
- Azure AI
- NVIDIA
[03] Security
The security questionnaire? Already answered.
Enterprise deals often stall in vendor security review.
The controls your team will ask about are in place from the first commit, documented and ready to show. This is what that looks like in every system we deliver.
- SC-01
Threat modeling before the first line of code
- SC-02
Zero-trust access with SSO, SAML and least privilege
- SC-03
Encryption everywhere, with managed secrets and key rotation
- SC-04
Zero PII in prompts, logs or training data
- SC-05
Audit logs for every human and AI action
- SC-06
AI guardrails: prompt-injection defenses and scoped MCP tool access
- SC-07
Dependency, container and code scanning in CI
- SC-08
Incident response plan, tested before launch
- SOC 2
- ISO 27001
- LGPD
- GDPR
[04] Approach
From complexity
to reliable systems.
Technical decisions keep paying off, or costing you, long after launch. So we start with the problem and pick the technology last.
- 01 · Understand
The business context
What needs solving, for whom, which constraints are real, and what an attacker would go after.
- 02 · Architect
The right shape
Enough structure to grow, with data and access boundaries drawn before any code.
- 03 · Integrate
The systems around it
APIs, data, models and legacy, each with only the access it needs, so a failure or a breach stays small.
- 04 · Build
Solid from day one
Monitoring, audit logs and security tests running before the first user shows up.
No unnecessary complexity.
No technology for technology's sake.
No security patched in at the end.
Just careful engineering, aimed at the actual problem.
[05] Production
Built for the
real world.
Working code is where it starts.
Staying up in production takes clear architecture, integrations that hold, observability, security and room to change as the business does. We plan for all of it from the first commit, so today's shortcut doesn't become next year's rewrite.
[06] Talk to us
Have a
complex
problem?
An AI product, a critical integration, a system that needs modernizing, or an idea that's just hard to build. Tell us about it and we'll help you find the way forward.
What happens next
- 01An engineer reads your message.
- 02Our AI assistant starts on it in the chat right away.
- 03We reply by email with next steps.
Let's build what comes next.