Built for Teams That Ship
Affordable, production-ready AI solutions designed for small and medium businesses looking to automate workflows and unlock intelligence.
Scope my small-business AI build→Enterprise-grade security and compliance built into every engagement.
Nearshore teams that work U.S. hours — available for standups, reviews, and real-time collaboration.
Mid-career to senior engineers, hand-selected and tested before they ever join a client team.
From first call to first commit in 1–2 weeks. No long procurement cycles.
Consistently top-rated by verified clients across Clutch, DesignRush, and The Manifest.
Clients don't just renew — they grow with us. Annual growth in renewals reflects lasting partnerships.
Most AI vendors pitch small businesses on tools built for enterprise budgets — sprawling platforms with six-figure contracts, dedicated data science teams, and integration timelines measured in quarters. The real opportunity for small businesses is narrower and more practical: one or two well-defined AI automations that cut the manual overhead eating into your margin, trained on the data you already have, running inside the tools your team already uses.
Codieshub has built AI integrations, document-intelligence pipelines, and conversational assistants for small and mid-market businesses since well before LLMs went mainstream. That includes logistics platforms processing cargo manifests at speed, property-management tools that route work orders without staff intervention, and e-commerce operations that personalize at scale without a data team. Senior Latin American engineers on U.S. hours — your AI build moves at startup pace without the enterprise overhead.
The approach is the same regardless of business size: start with the process that costs the most time or error rate, build the smallest AI intervention that fixes it, prove ROI inside thirty days, then expand. No moonshot roadmaps, no eighteen-month transformation — just working software that pays for itself.
Small businesses rarely lack data — they lack the bandwidth to use it. Staff manually classify support tickets, re-enter invoices from PDFs, chase status updates across spreadsheets, or answer the same customer questions a hundred times a week. The total cost is invisible until someone tries to hire around it.
We scope small-business AI projects around a single high-frequency pain point: the repetitive process where a junior employee is making the same decision forty times a day. We instrument that process, define the decision boundary, pick the cheapest model that covers it — often a fine-tuned smaller model rather than GPT-4 — and wire it into the tool your staff already opens every morning. Integrations first, demos second.
The goal is a measurable reduction in manual handling on the scoped workflow within the first month — less time on rote decisions, fewer errors, and staff attention redirected to work that actually requires judgment. Beyond that: the business has a documented AI capability it can extend rather than a vendor subscription it depends on.
Tell us the workflow costing you the most time — we'll come back with a scoped proposal in 48 hours.
The Work
Archive · 2016 → 2026
Browse all 35 cases→
Transportation & Logistics
Logistics SaaS for Saudia Cargo
PetScreening
Real Estate
SaaS Platform That Scaled to 21% MoM Growth
Elite Amenity Management
Real Estate
Digital Concierge for Elite Amenity
Attic
Automation
MVP Strategy and Build for Attic
Kiwi
Logistics
AI & ML Powered Logistics for Kiwi
Rodeo
E-commerce
Shopify Subscription Plugin Built in 8 Weeks
PickPro
Logistics
Logistics Platform for PickPro
RSVLTS
E-commerce
E-commerce Platform for RSVLTS
Stand+
E-commerce
E-commerce Platform for Stand+
4.9 / 5
Average client rating across platforms
93%
Net Promoter Score
150%
Client retention rate
SOC 2
Type II certified
Four ways to work with us — from surgical staff augmentation to fully managed delivery. All models share the same senior-first talent bench.
Full-time engineers embedded in your team for long-running engagements.
Explore Dedicated Teams↗Add senior specialists to an existing team — vetted, onboarded, and up to speed in weeks.
Explore Staff Augmentation↗Managed fixed-scope projects with a committed timeline and deliverables.
Explore Project Delivery↗Fractional senior technical leadership for architecture, hiring, and strategy.
Explore Virtual CTO↗Why Codieshub
The shortlist we get asked about on every call — what actually separates Codieshub from a dev shop.
We size the first build around a process you can benchmark — time, error rate, headcount cost — so you know within 30 days whether the AI is paying off before committing to phase two.
AI that lives inside your CRM, inbox, accounting software, or internal portal — not a separate product your staff has to remember to open. Adoption is built in.
We use your documents, your historical decisions, and your category structure to fine-tune or retrieval-augment the model — so outputs reflect your business, not a generic benchmark.
A two- to four-person senior team moves from scoping to deployed MVP in six to ten weeks. No enterprise procurement cycle, no bench-warming junior staff — just the engineers who close the tickets.
We pick the model tier that matches your volume and accuracy requirements — often a fine-tuned open-source or mid-range API model — so inference costs stay proportional to your revenue, not a Fortune 500's.
All code, prompts, fine-tuned weights, and data pipelines are yours at handoff. You're not renting an AI feature from us — you're building a permanent capability inside your own stack.
Reviews
John Bradford
CEO · PetScreening
PetScreening case study→“An external team can be just as committed and driven as our internal one. Their dedication and attention to detail have made them invaluable.”
Davis Rosser
CEO & Co-founder · Elite Amenity
Elite Amenity case study→“The digital concierge we co-built is more than tech — it's a paradigm shift in resident experience. Luxury brands can now offer faster services.”
Oliver Dlouhy
CEO · Kiwi
Kiwi case study→“We move fast and deal with a lot of edge cases. They kept up without cutting corners, which is rare. The team stayed responsive across time zones.”
Ryan Pamplin
CEO · Blendjet
Blendjet case study→“Managing global scale requires extreme technical precision. Codieshub re-architected our funnels to perform under massive pressure.”
Steve Gebhardt
Founder · RSVLTS
RSVLTS case study→“Our old setup crashed during every major drop until Codieshub built a beast of an engine for us. They handled our traffic spikes perfectly.”
Farid Huseynov
CEO · Kapital Bank
Kapital Bank case study→“Reliability and scalability are critical for us. They approached the engagement with a strong technical foundation and a clear process.”
Vito Robles
COO · Percensys
Percensys case study→“They took feedback seriously, refined the details, and made sure our content and workflows were presented in a way that really works for our learners and admins.”
Lisa Dunbar
CEO · Paradigm Labs
Paradigm Labs case study→“They did an excellent job balancing scientific nuance with a user-friendly experience. It's clear they care about both rigor and design.”
Michael Ou
Founder · CoolBitX
CoolBitX case study→“Security and precision are non-negotiable for us. They demonstrated solid technical judgment, were open to feedback from our engineers, and iterated quickly.”
Enterprise-grade security and compliance across every engagement.
Nearshore teams that overlap with your working hours for real-time collaboration.
Near-perfect satisfaction scores across Clutch, DesignRush, and Manifest.
Process
Our engineers are not freelancers, and we are not a marketplace. Dedicated Codieshub seniors, seated with your team.
Before kickoff
Pre-kickoff technical and strategic review.
Before a single line of code, we sit with your team to align on stack, constraints, and what success looks like. Our VP Eng, CTO, and senior leads join — not a sales engineer.
Full review of your stack, goals, and constraints before kickoff
Session led by VP Eng, CTO, and the senior leads who'll staff the work
Architecture, tooling, and team shape agreed before the first sprint
Questions
The questions we get on every intro call — answered without the marketing gloss.
A focused single-workflow AI automation — document extraction, ticket classification, conversational FAQ, or similar — typically runs $15K–$50K and takes six to ten weeks from scoping to production. More complex builds with multiple integrations or custom fine-tuning run $50K–$120K. We quote per-project rather than hourly, so you have a fixed ceiling before any code is written.
Keep exploring
