Companies want leverage. People want a force multiplier. We ship AI that runs.

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

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.

• 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.

How we work

• One owner, something you can use Brief, architecture, build, launch, and operations sit with one person. Apps, sites, hardware, and AI do not need three vendors.
• Not a folder of chat demos Retrieval, tools, voice, vision, evaluation, cost, and guardrails ship together so the system runs every day.
• Company or solo, start with one slice A support agent, a knowledge base, a personal assistant, an app, a device—or a live system that needs rescuing.
• Talk how you talk English or another language. Time zones and the stack follow the project.

Capabilities

• 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.

Capabilities →

A short path

1. 01 Scope What must exist, where it runs, and what “done” means.
2. 02 Build Interface, data, models, and glue—with you in the room.
3. 03 Prove Evaluation, traces, cost. Staging should behave like production.
4. 04 Run Deploy, watch, iterate. After launch the system still has to stay honest.

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