Custom AI solutions we build
Autonomous AI agents
Software that reads, decides, and acts across your tools with minimal hand-holding.
Conversational AI
Chatbots, voicebots, WhatsApp and IVR flows that close the loop: answer, book, refund, escalate.
Computer vision
OCR, image analysis, object detection. Turning pixels into structured data your business can act on.
Generative AI workflows
Drafting, summarizing, generating content at the scale your team can't reach manually.
Machine learning
Recommendation engines, forecasting, anomaly detection — measured against your real KPIs, not academic ones.
Legacy modernization
Analyzing, refactoring, and upgrading old codebases so AI can sit on top of them safely.
Custom AI development case studies
See the AI CFO agent we built for an e-commerce brand — connected to QuickBooks, Shopify and internal data, it helped lift revenue 20% and AOV 16% while cutting operational costs 7%.
Read full case study
See the generative imagery pipeline we built for NUMIS — two reference photos in, an interactive 3D asset and 36 marketing photos out, taking cost per asset from ~$300 to ~$2.50.
Read full case studyHow custom AI development works with us
Proof of Concept
Validated on your data before we touch the MVP. (Skip this if you already have one.)
MVP build
Two-week sprints, a working demo at the end of every sprint, continuous deployment so you can use the system while it's being built. Training, APIs, UI, integrations into your stack.
Maintenance
Monitoring, alerts, retraining, a /status page with real-time visibility. We don't build and disappear.
What you own at the end of a custom AI build
- A production-ready system shaped sprint by sprint.
- Full IP transfer — code, models, weights, documentation.
- Monitoring, observability, and a runbook your team can own.
- A measurable line back to the KPI we agreed on at kickoff.
Industries we've shipped in
Engagements that fit the stage you're in
Discovery call
Before any build, a free 30-minute call to confirm AI is the right move and which kind would actually pay back.
Ideal for:
- A live business ready to invest in AI
- Non-technical founders or executives who need tech validation
- Teams scoping budget and timeline before committing
Custom Build
Engagements start after a PoC (yours or ours). A production system, not a prototype.
Ideal for:
- Teams with a validated use case who need a production system
- Companies replacing brittle off-the-shelf tools
- Operators with a real KPI on the line
Deliverables:
- Production system
- Full source and model IP
- Monitoring + alerts
- /status page
- Documentation
- Handover or ongoing support
Frequently asked questions
Custom AI development is designing and building AI software around one company's own data, workflows and systems, instead of adapting a generic SaaS tool. It covers the model choice, the integrations into your CRM, ERP or telephony, the evaluation against your real cases, and the production infrastructure — and the company owns the result.
Off-the-shelf works when your process is standard and the tool already plugs into your stack. Build custom when the AI has to work on your own data, fit a workflow that is specific to your business, meet audit or compliance requirements, or when per-seat pricing will cost more over three years than owning the system.
Most projects start with a proof of concept at $15k–35k. A production build for a single workflow typically runs $35k–80k, and larger multi-system builds are quoted per scope. We break down the line items in Custom AI Development Services in 2026.
A proof of concept takes 4–8 weeks. A production build for a single workflow typically takes 6–10 weeks; multi-workflow or enterprise systems take 10–20 weeks, depending on integrations and compliance. We build in two-week sprints with a working demo at the end of each, so you can use parts of the system while the rest is still being built.
You do. Code, models, weights, prompts and documentation transfer to you in full, and everything runs in cloud accounts you control. No per-seat subscription and no vendor lock-in.
Ask for production case studies with numbers, not demos. Check that the team that sells is the team that builds, that they will prove the idea on your data before quoting a full build, and that you get full IP. Our checklist is in How to Choose an AI Development Company in 2026.
Let's scope your build
Book a discovery call. We'll confirm AI is the right move and what kind would actually pay back.