Capabilities
OpenAI, Anthropic, Gemini, or open-source models on your machines. The point is wiring them to your data, workflows, and devices—so a company saves time, and a person gets leverage. If any line below fits, contact us.
Built for both
- Companies and teams On-call support, internal Q&A, contracts and invoices, sales and ops automation, coding copilots, QA and risk. Models plug into the software, sites, apps, and devices you already have.
- Individuals and makers A second brain, research and writing help, a content or support bot, a small product of your own, automation for one. Tools you open every day—not a demo.
AI that can help right now
- Agents Plan, call tools, finish multi-step work. Tickets, quotes, scheduling, inspections, engineering help—then a person spot-checks.
- Knowledge (RAG) Manuals, mail, wikis, contracts in. Answers with citations, permissions, and refresh when the source changes. Less invention.
- Computer and browser use Click, fill forms, move data, reconcile systems on a script. People review the critical steps; the rest is the agent.
- Realtime voice Phone, front desk, coaching, meeting notes. Listen and speak, then write into tickets and CRM—not a recording that sits unused.
- Vision and documents Invoices, IDs, drawings, screens, site photos. Read, extract, match, file—into finance, warehouse, or inspection.
- Code and internal tools Ask the repo, assist review, add tests, turn repeated work into an assistant. Teams ship more; solo builders ship more.
- Workflow automation Lead to cash, ticket to close. The model classifies, extracts, drafts; the system notifies, stores, and chases.
- Personal assistant and second brain Notes, calendar, files, writing, study. Data stays where we agree. Built to be opened, not admired.
- Multimodal content Understand images and video, captions, voice-over, product shots and short-form pipelines—with your review, not uncontrolled generation.
- Private deploy and guardrails On-prem or local models, keys, cost caps, evaluation, redaction. Secrets that should not leave, do not leave.
Software, sites, and hardware
- Apps and clients iOS, Android, HarmonyOS, Flutter, React Native, mini programs, wearables. AI lives in the client, not as a bolted-on webpage.
- Web and backends Sites, SaaS, H5, admin consoles, APIs, sign-in, deploy. Internal tools can carry assistants and automation too.
- Hardware and edge Embedded, IoT, cameras, sensors. Run the model on the device when that is cheaper or safer; send the rest to the cloud.
- Data and automation CRM, tickets, warehouse, finance. The model decides; the system executes; a person confirms the steps that matter.
Building blocks we use
- LLM APIs
- Open-source / local models
- Realtime voice
- Vision and OCR
- MCP / tools
- RAG pipelines
- Agent graphs
- pgvector / Qdrant
- FastAPI / Node
- Next.js / PHP
- iOS / Android
- Flutter / HarmonyOS
- Docker / K8s
- Queues / workers