AI services for every stage of your journey.
From quick-start chatbots to custom AI-native software builds. Browse by what you need — we'll match you with the right solution.
Data & Insights
"We need to talk to our own data"
AI systems that make your business data queryable, understandable, and actionable — from knowledge assistants to predictive analytics.
RAG-Powered Knowledge Assistants
Chat with your data — grounded, cited, trusted
Internal knowledge bases and support bots trained on your own content. Every answer is grounded in source material with full citation traceability.
Natural-Language-to-SQL
Let non-technical staff query data in plain English
A governed text-to-SQL layer that lets business users query production databases in natural language, safely and accurately.
AI-Powered Internal Dashboards/BI
AI-generated insights on top of your existing data
Business intelligence dashboards enhanced with AI-generated insights, anomaly detection, and natural language summaries of your key metrics.
Predictive Analytics / Forecasting
Demand forecasting, churn prediction, price optimization
Machine learning models for demand forecasting, churn prediction, price optimization, and predictive maintenance — trained on your historical data.
Automation & Agents
"We're drowning in manual work"
AI agents and automation that handle repetitive tasks, process documents, and execute multi-step workflows — so your team focuses on what matters.
AI Agent Automation
Agents that take real actions across your systems
Multi-step workflow agents that handle data entry, reports, triage, email, and more — executing real actions across your tools with human-in-the-loop checkpoints.
AI Automation
Reduce manual work across your operations
Umbrella workflow automation that identifies and eliminates repetitive manual tasks across your operations using AI-powered decision making.
Document/Data Processing AI
Invoice extraction, contract analysis, form parsing
AI-powered document processing for invoices, contracts, forms, and unstructured data — extracting structured information at scale with LLMs and OCR.
AI Voice Agents
AI phone agents for bookings, support, and follow-ups
AI-powered voice agents that handle phone bookings, customer support calls, and outbound follow-ups with natural conversation abilities.
AI Integration
"We have an app and want AI in it"
Retrofitting AI capabilities into your existing software — search, summarization, recommendations, and model orchestration without rebuilding.
AI Integration Retrofits
Bolt AI features onto your existing product
Adding AI-powered search, summarization, recommendations, and content generation to your existing application — without rebuilding from scratch.
AI Middleware / API Orchestration
Integrate AI models into your existing stack
A middleware layer that integrates OpenAI, Anthropic, Google AI, and open-source models into your existing application stack with unified APIs and fallback routing.
Fine-Tuned/Custom ML Models
Purpose-built models for your specific use case
Custom-trained machine learning models for fraud detection, content recommendations, predictive maintenance, and other domain-specific applications.
AI-Native Development
"Building AI-native from scratch"
Full-stack software builds where AI is a core architectural decision — not an afterthought. Custom applications and MCP connectors built for the AI era.
AI-Native Custom Software Builds
Full-stack builds with AI as a core feature
Complete web applications and software systems built AI-native from day one — with intelligent features, automation, and data-driven capabilities baked into the architecture.
Custom MCP Server Development
Custom Model Context Protocol connectors
Purpose-built MCP (Model Context Protocol) servers that give AI models structured access to your internal systems, databases, and APIs — an early-mover, low-competition space.
AI Strategy & Consulting
"We don't know where to start"
Feasibility studies, process audits, and implementation roadmaps that cut through the AI hype to find real opportunities in your business.
AI Strategy / Opportunity Assessment
A clear roadmap before any build begins
Feasibility studies, build-vs-buy analysis, and phased implementation roadmaps that tell you exactly where AI can drive value in your business — and where it can't.
AI Process Audits
Find where AI can save you money
Paid discovery engagements that audit your operations to identify where AI can reduce costs, speed up processes, or improve quality — with ROI estimates for each opportunity.
AI Training/Enablement
Make sure your team actually adopts the AI tools
Workshops and hands-on training so your staff actually uses the AI tools built for them — because the best system is worthless if nobody adopts it.
Quick-Start AI
"Something simple, fast"
Lightweight AI solutions you can deploy quickly — chatbots, LLM integrations, and content tools that deliver value in days, not months.
Lightweight AI Chatbot Deployment
Website chatbots and messaging bots — fast
Quick-deploy AI chatbots for your website, WhatsApp, or Slack — simpler than full RAG, faster to launch, and great for FAQ handling and lead capture.
LLM API Integration Consulting
Choose and wire up the right AI model for your needs
Expert guidance on selecting and integrating the right LLM — OpenAI vs. Claude vs. Gemini vs. open-source — for your specific use case, budget, and constraints.
AI Content/SEO Tooling
AI-powered content generation for marketing
AI content generation and personalization tools for marketing sites — automated blog posts, product descriptions, SEO optimization, and content A/B testing.
Four ways to engage, one standard of quality.
Whether you need a roadmap, a shipped feature, or a long-term AI partner — the engineering quality stays the same.
AI Strategy Assessment
1-2 weeks
Best when you know AI could help but aren't sure where to start.
- Opportunity mapping
- Build-vs-buy analysis
- Prioritized roadmap
- Cost estimates
Focused Build
4-12 weeks
Best for shipping a specific AI feature or product into production.
- Dedicated senior team
- Production-ready system
- Testing & evaluation
- Documentation & handoff
AI-Native Product Build
8-16 weeks
Best for building a new product or platform with AI at the core.
- Full-stack development
- AI architecture design
- Iterative delivery
- Team capability transfer
Ongoing Partnership
Monthly
Best when you need continuous AI development and support.
- Dedicated capacity
- Multi-project delivery
- Priority support
- Regular strategy reviews
We're a strong fit for some teams, and honestly not for others.
Being upfront saves everyone time. Here's where we do our best work — and where you'd be better served elsewhere.
- You know AI could improve your product or operations, but you need the right team to build it.
- You want production-quality software, not a demo that impresses in a meeting and breaks in the real world.
- You value transparency — you want to see the architecture, understand the trade-offs, and own the result.
- Your team wants a partner who documents and hands off, not a vendor who creates dependency.
- You're looking for the cheapest possible prototype to test a vague idea.
- You need a generic website with no real AI functionality.
- You expect AI to magically solve problems without clear data or requirements.
- You want it live next week regardless of quality.
Questions we get asked before every engagement.
If yours isn't here, a quick call is the fastest way to get a straight answer.
01Who owns the IP and code you build?
You do — fully. Every engagement transfers all source code, model artifacts, prompts, and documentation to your organization. We retain no rights and create no dependency on us to keep the system running.
02How do you handle our data?
We follow strict data handling practices. Your data is used only for your project, never shared with other clients, and never used to train third-party models. We're happy to sign NDAs and DPAs as needed.
03What does a typical timeline look like?
An AI Strategy Assessment runs 1-2 weeks and ends with a roadmap. A Focused Build typically ships a production system in 4-12 weeks depending on complexity. Full AI-native product builds run 8-16 weeks. We scope precisely before committing.
04How do you integrate with our existing team?
We work in your tools and workflows — your repos, your ticketing, your standups. Our engineers collaborate with yours so knowledge transfers rather than concentrates. The goal is a team that can maintain and extend the system without us.
05What AI models and platforms do you use?
We're model-agnostic. OpenAI, Anthropic (Claude), Google (Gemini), and open-source models like Llama and Mistral — we choose based on your requirements for cost, quality, latency, and data privacy. We can also switch models later without rebuilding.
06How do you measure success?
Every project defines success metrics up front — user adoption, accuracy, time saved, cost reduction. We build measurement into the system from day one, so results are tracked, not asserted.
Not sure where to start?
An AI Strategy Assessment gives you a clear roadmap before any build begins — the lowest-commitment way to work with us.