What we build
End-to-end AI and automation services from senior engineers who ship. No offshore teams. No handoffs. No bullshit.
LLM Integration
Production-ready AI that actually ships
We integrate large language models into your existing systems with proper error handling, monitoring, and fallbacks. No science experiments—just reliable AI infrastructure.
- OpenAI, Anthropic, and open-source model integration
- Retrieval-augmented generation (RAG) systems
- Custom fine-tuning and prompt engineering
- API design and rate limiting
- Cost optimization and model selection
- Production monitoring and observability
// Your AI endpoint, production-ready
const response = await ai.complete({
model: "gpt-4",
messages: context,
fallback: "claude-3",
timeout: 5000,
cache: true,
});Process Automation
Eliminate manual workflows at scale
We build automation systems that handle the tedious work so your team can focus on what matters. Real ROI, not slideware.
- Document processing and extraction
- Workflow automation and orchestration
- Data pipeline design and implementation
- Integration with existing tools (Slack, Notion, CRMs)
- Automated reporting and analytics
- Quality assurance and testing automation
// Automated document processing
const results = await pipeline.process({
source: "inbox",
extract: ["invoice", "contract"],
validate: true,
notify: ["#ops", "finance@company.com"],
});Technical Strategy
Cut through the hype
Get a clear, actionable roadmap for AI adoption. We help you understand what's possible, what's practical, and what's worth building.
- AI readiness assessment
- Technology stack evaluation
- Build vs. buy analysis
- Vendor selection and evaluation
- Team training and upskilling
- Architecture review and planning
// Assessment output
{
"readiness": "high",
"opportunities": [
"customer support automation",
"document processing",
"predictive analytics"
],
"timeline": "8-12 weeks",
"roi_estimate": "3.2x"
}Custom AI Tools
Purpose-built for your use case
Off-the-shelf solutions don't cut it? We build custom AI applications trained on your data and deployed in your environment.
- Custom model development and training
- Domain-specific AI applications
- Internal tools and dashboards
- Data labeling and dataset creation
- Model evaluation and benchmarking
- Deployment and scaling
// Custom model deployment
await model.deploy({
environment: "production",
replicas: 3,
autoscale: true,
monitoring: {
latency: true,
accuracy: true,
drift: true,
},
});Not sure what you need?
Let's talk. We'll help you figure out the right approach for your specific situation.
Get in Touch