Artificial Intelligence Development Services That Reach Production
Your team is drowning in manual decisions while your SaaS vendors sell you someone else's business logic. We build custom AI systems you own outright — classic engineering, generative AI, or low-code chosen per component — with a working prototype on your real data in 14 days.
A Full-Service Process for Production AI Systems
From the first architecture call to a production system inside your own cloud — here is exactly how we get you there.
Step 1
Architecture
Audit
We map your stack, your data, and the workflows leaking the most margin, then rank them by payback speed. You leave with an opportunity map that separates what AI can automate today from what needs data work first.
Step 2
Integration & Data Mapping
We trace every handoff between your ERP, CRM, and storefront and define the API architecture before anyone writes model code. If a pilot already exists, this is where our AI automation consulting decides what to keep and what to rebuild.
Step 3
14-Day
Prototype
Two weeks in, you see a functioning system running on your real data — not a clickable mockup. It runs on the same Python and FastAPI architecture that carries into production, so nothing built during validation gets thrown away.
Step 4
Deployment &
Handover
We harden the system inside your private cloud with monitoring, evaluations, and SOC 2 / GDPR-aligned controls, then train your team and hand over the repository. See how that played out in our competitor price tracking build.
The Right Tool Per Component
Artificial intelligence development services means designing, building, and deploying custom AI systems on your own data and inside your own infrastructure. Most vendors sell one stack for all of it. We pick per component: classic engineering where reliability is non-negotiable, generative AI where intelligence is the product, low-code where speed wins.
The right engineering approach for each component — not the same hammer for every nail
Systems We've Actually Shipped
For a mid-market retailer we built self-healing competitor price tracking that recovered 12% retained margin and cut repricing latency from days to under an hour. For a DTC brand, behavioral risk scoring cut fraudulent returns 38%. Figures are representative, anonymized engagements — the methodology is published.
Every model and pipeline runs inside your private cloud perimeter. Your pricing, vendor terms, and customer records never leave it and never train a public model — SOC 2 / GDPR-aligned from the first prototype.
You own the repository, the architecture, and every prompt we write. There is no proprietary platform, no per-seat licence, and nothing stopping you from moving the whole system in-house after handover.
No junior bench rotating through your build. Each engagement gets a solutions architect, an AI/ML engineer, an integration specialist, and a security engineer — the same people from the audit call through handover.
One workflow in production becomes the template for the next five. The same stack carries a single automation or a full AI analytics and BI layer, so a proven system expands instead of getting rebuilt from zero.
AI Development Services Cost & Packages
Prototype Sprint
$12,000+
A single high-value workflow, built and validated on your real data in about two weeks. Best for SMB teams that need proof the automation works before committing a larger AI MVP budget.
What's included?
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Scope & Architecture: one working session to pick the highest-value workflow to prove
Prototype Build: functional system on your real data, not a clickable mockup
Stack Setup: Python and FastAPI foundation ready to extend into production
Findings Report: what worked, what did not, and the fastest path forward
Production System
$28,000+
A production-grade AI system covering one core business process, deployed inside your private cloud with monitoring and a live integration. This is the tier most US mid-market teams choose for their first real deployment.
What's included?
Everything in Prototype Sprint: hardened for real users and real volume
Integration: secure API connection to one system of record — ERP, CRM, or storefront
Security & Monitoring: private-cloud deployment with evaluations, retries, and alerting
Scaling Roadmap: prioritized plan and ROI model for the next workflow
Autonomous Operations Build
$55,000+
A multi-workflow build spanning several systems and agentic steps, engineered to run enterprise-level volume from day one. Chosen by teams replacing a six-figure SaaS contract with a system they own outright.
What's included?
Everything in Production System: extended across multiple connected workflows
Multi-System Integration: SAP, Coupa, Shopify Plus, NetSuite, or your legacy ERP
Compliance: SOC 2 and GDPR-aligned deployment, audit logging, human approval gates
Team Training: runbooks and hands-on onboarding so your team operates it
Why Choose Building Agentic?
You could brief a freelancer, hand the build to an offshore team, or stitch together four contractors — or work with one accountable team that owns the outcome.
Hybrid
by Design
We choose classic engineering, generative AI, or low-code per component, so you pay for reliability where it matters and speed where it doesn't.
One Accountable
Team
A single team of solutions architects and AI engineers owns your build from the audit call to handover, with no contractor handoffs in between.
Production
From Day One
Production From Day OneYour prototype runs on the architecture that carries into production, so a validated idea never gets rebuilt from scratch six months later.
You Own
Everything
The code, the data, and the intellectual property stay yours — no SaaS licence, no rented black box, no per-seat fee that grows.
Industries We Build AI Systems For
We go deepest where the margin math is obvious: operations-heavy businesses where a few percentage points of leakage per week add up faster than any dashboard shows. These are the verticals where our systems already run in production.
Frequently Asked Questions About AI Development Services
