What we build

Websites, software, and intelligent systems.

Pick the shape closest to your problem. Each comes with a playbook, a stack, and a starting price — from marketing sites to full platforms and AI.

Start a project

01 / 08

Websites & digital experiences

Public-facing sites that load fast, read well, and reflect your brand — marketing pages, launches, company sites, and content hubs you can evolve without a rewrite.

Starts at $1,500 prototype

Example outcomes

A polished marketing or company site with clear CTAs and solid SEO basics
Landing pages and microsites for campaigns or new products
A foundation your team can extend (components, content structure, deployment pipeline)

Typical stack

Next.jsResponsive layoutPerformance & Core Web VitalsAccessible UIAnalytics hooks

02 / 08

Business & industry software

Custom web apps and portals shaped around your sector — not generic templates. Booking, operations, customer self-service, and internal tools that match real workflows.

Starts at $1,500 prototype

Example outcomes

A customer or partner portal wired to your rules and branding
An internal dashboard or operations tool that replaces spreadsheets
Industry-specific flows (appointments, orders, compliance steps) built for your market

Typical stack

TypeScriptPostgreSQL or your DBAuth & rolesREST / GraphQL APIsHosted on your cloud account

03 / 08

AI agents & assistants

Agents that take action — book meetings, search systems, summarize threads, escalate when stuck. Tools, memory, and guardrails included.

Starts at $1,500 prototype

Example outcomes

An assistant that can read your inbox, draft replies, and schedule follow-ups
An internal agent that searches your tools and answers in chat
A customer-facing agent that handles tier-1 support with human handoff

Typical stack

LLM (OpenAI / Anthropic / open-source)Function callingTool useMemory storeGuardrails

04 / 08

RAG & knowledge systems

Search, Q&A, and chat over your private documents. Accurate, cited, and re-indexable on a schedule.

Starts at $1,500 prototype

Example outcomes

A chat over your policies, contracts, or knowledge base
A semantic search that beats your current keyword search
An auto-updating document QA system with citations

Typical stack

EmbeddingsVector DB (pgvector / Pinecone / Qdrant)Hybrid retrievalRerankerCitation rendering

05 / 08

Workflows & automations

Replace repetitive work with reliable pipelines — ingestion, classification, notifications, and AI steps only where they outperform traditional code.

Starts at $1,500 prototype

Example outcomes

A pipeline that ingests PDFs, extracts fields, and posts to your system
An auto-triage of inbound emails, tickets, or applications
Scheduled jobs that move data between tools with clear failure handling

Typical stack

WebhooksQueuesCronLLM or rules-based stepsHITL review UI

06 / 08

Products & platforms

Full applications — web and mobile — with solid UX, data modeling, and optional AI features when they genuinely improve the product.

Starts at $7,500 system

Example outcomes

An internal tool that turns 30-min tasks into 30-second ones
A customer dashboard with insights, reporting, or AI-assisted summaries
A mobile or web product your team can grow for years

Typical stack

Next.jsReact Native / ExpoPostgreSQLAPI-first backendType-safe end-to-end

07 / 08

Voice & chat agents

Inbound voice and WhatsApp bots that actually answer, qualify, and book — not just chat in circles.

Starts at $7,500 system

Example outcomes

An inbound number that answers 24/7, qualifies leads, and books slots
A WhatsApp agent that handles orders, follow-ups, and FAQs
A voice front-end on top of your existing CRM

Typical stack

Telephony (Twilio / Vapi)STTTTSLLM dialog policyCalendar / CRM integration

08 / 08

Fine-tuned small models

Your own model, trained on your data, hosted on your infra. No OpenAI dependency required.

Starts at $7,500 system

Example outcomes

A small model that classifies your tickets better than GPT — at 1/100th the cost
A domain LLM trained on your documentation, deployed privately
An eval harness so you know when the model regresses

Typical stack

LoRA / QLoRA fine-tuningOpen-weights base (Llama / Mistral / Qwen)vLLM / TGIEval harnessSelf-host or managed

Not sure which one fits?

Tell us the problem on the intake form. We will pick the right shape on the scoping call — at no cost.

Start a project