Digital · AI Integrations

AI that actually ships.

Custom chatbots, AI copilots, RAG pipelines, agent workflows — built into your existing stack, not bolted on.

Start your project → See examples
2-8wTime to deploy
40-60%Avg cost reduction
0Hallucinations in prod
100%Your data, your model
Recently shipped

Work we did.

Every project is a real launch. Tap any to see the case study.

Chatbot
Modern Coffee Concierge
GPT-4 + RAG-72% ticket vol
Copilot
Patel Listing AI
Claude + Vertex+24h saved/wk
Workflow
FieldNotes Summarizer
Anthropic API8min → 30sec
Content
Acme Brand Voice
Fine-tuned GPT4× output
Voice
Bar Provence Booking
Voice GPT+58 res/wk
Commerce
Atelier Personal Stylist
Multimodal AI+184% AOV
In the box

What you get on launch day.

Multi-model orchestration
GPT-4, Claude, Gemini, Llama — pick the right model for each task. Fallback if one is down.
RAG / vector DB
Your knowledge base embedded. AI answers from your data, not its training set.
Guardrails
Hallucination guards, PII redaction, profanity filtering, prompt injection defense.
Analytics + observability
Token costs, latency, quality scores. You see what AI is doing and what it costs.
Integrations everywhere
Slack, Teams, your website, your app, your CRM. AI lives where work happens.
Custom fine-tuning
Brand voice, product knowledge, internal jargon. Your AI sounds like your team.
SOC 2 / HIPAA ready
Enterprise-grade controls. Self-hosted models for sensitive data. Audit trail by default.
Continuous learning
Every interaction is a training signal. Quality improves monthly without your intervention.
Tech stack

Built on what actually scales.

OOpenAI
AAnthropic
GGoogle
MMistral
LLangChain
PPinecone
WWeaviate
LLlamaIndex
LLangSmith
HHelicone
MModal
RReplicate
How we work

From kickoff to live.

Use-case workshop

We map your biggest AI opportunities. Pick the one with highest ROI for v1.

01
Wk 1

Prototype

Working demo with your data. You test it with real users.

02
Wk 2–3

Production build

Guardrails, monitoring, fallbacks, integration into your stack.

03
Wk 3–4

Optimization

Monthly review of quality + cost. Continuous improvement.

04
Ongoing
Case study

"We were drowning in support tickets" — until AI handled 72% of them.

Modern Coffee was getting 800 tickets/week, 90% of them "where's my order" or "menu question." We built a GPT-4 chatbot with RAG over their menu + order data. Live in 3 weeks. The bot now resolves 72% of tickets autonomously; the human team focuses on the 28% that matter.

-72%Ticket volume
4.6★CSAT for AI
3wTo deploy
Integrations

Connects to everything.

OpenAI
Anthropic
Cohere
HuggingFace
Pinecone
Weaviate
Chroma
LangChain
Slack
Intercom
HubSpot
Zendesk
Salesforce
Notion
+ 100s of APIs
+ custom
Pricing

One fixed price.

We quote the project, not the hour.

Starter
$1,499
One-time · Single integration
  • 1 AI integration
  • Chatbot or content tool
  • OpenAI / Anthropic / Cohere
  • Production guardrails
  • 2 weeks
Start Starter →
Most popular
Pro
$4,999
One-time · Custom workflow
  • Custom AI workflow
  • RAG / vector DB
  • Multi-model orchestration
  • Analytics + guardrails
  • 4 weeks
Choose Pro →
Enterprise
$14,999
One-time · Full AI platform
  • Multi-tool AI platform
  • Custom fine-tuning
  • Self-hosted model option
  • SOC 2 ready
  • 8–10 weeks
Choose Enterprise →
FAQ

The questions you'll actually ask.

Which AI model do you use?
Depends on the task. We use GPT-4 for reasoning, Claude for long-context, Gemini for multimodal, Llama for self-hosted. The right tool for the job — and we switch as the model landscape shifts.
How do you prevent hallucinations?
Three layers: RAG so the model answers from your data, structured outputs that the model must conform to, and a verifier step that flags low-confidence answers for human review.
What about our data privacy?
On Enterprise, we self-host the model — your data never leaves your infrastructure. On other tiers, we use providers with no-training data policies (OpenAI Enterprise, Anthropic Pro).
Can you fine-tune on our data?
Yes on Pro and Enterprise. We fine-tune Llama, Mistral, or use OpenAI fine-tuning for brand voice and domain-specific knowledge.
What about the cost of running it?
You pay model usage to the provider directly. We optimize prompts to minimize tokens. Typical Starter integration runs $50-200/month in usage; Enterprise can be $500-5,000/mo.
Will this replace my team?
No. It augments them. Customer support gets 70% deflection so your team handles the 30% that matter. Content writers get 4× output. Engineers ship faster. We position AI as leverage, not replacement.
Ready when you are

AI, in production.

Tell us your biggest workflow pain. We'll prototype AI for it in 2 weeks.

Start your project → Book a 15-min call