AI solutions that ship, not demos.
Production AI for real business workflows — agents, copilots, chatbots, and automation built for you by forward-deployed engineers, grounded in your data, and running in your environment.
What our AI solutions cover.
AI agents & copilots
Assistants that work inside your workflows — drafting, deciding, and acting with human oversight.
AI chatbots
Customer-facing assistants grounded in your docs and data, with human handoff built in.
Workflow automation
AI that processes documents, routes requests, drafts replies, and moves work forward automatically.
AI-powered analytics
Dashboards with an AI layer that explains what changed and why — commentary, not just charts.
Document intelligence
Extract, classify, and act on the documents your team processes by hand today.
AI in your product
Ship AI features to your own customers — built as production features, not experiments.
Built for you, the forward-deployed way.
A senior, AI-augmented engineer embeds with your team, builds on your existing stack, and hands over production-grade software you own.
01
Scoped in 30 minutes
One call with an engineer — not a sales rep — and a fixed-price quote within 48 hours.
02
Working software in week one
AI-native build speed means you see a real, working version fast — and shape it with us daily.
03
Production-grade & owned
Secure, scalable, deployed in your accounts. All code and IP are yours, with no lock-in.
CASE STUDIES
Real interfaces, built on real SaaS
Speed
Customer Success
Speed CSM & Engagement Platform
Internal CS console plus wallet-native engagement games that pay real sats to eligible users
Speed
Fintech
Bank Deposit Guardian
Real-time monitoring, alerting & analytics for bank virtual-account deposits.
The right models and tools for the job.
Claude
OpenAI
Your data
Intercom
Slack
Your CRM
RAG pipelines
+ Your stack
FAQ
Common Questions.
Specific to AI solutions.
What are AI solutions for business?
Practical applications of AI — agents, chatbots, automation, document processing, analytics — applied to real workflows like support, operations, and sales. The useful ones are grounded in your company data and integrated with your systems, not standalone demos.
How do we know which AI use case to start with?
Do you use our data to train models?
Will it be reliable enough for production?
How fast can an AI solution ship?
How is this different from hiring a traditional AI agency or freelancer?