TL;DR: Custom AI work fails most often between demo and production. This list compares 10 custom AI development services for US enterprises on how they get from pilot to production, what they publish about price, and where they deploy.
Custom AI development services are engagements in which a provider designs, builds and deploys AI applications, agents or models around an organization's own data, systems and workflows, rather than selling an off-the-shelf tool.
Ranking criteria and disclosure: LuMay publishes this list and is one of the providers ranked. We ranked on a published path from pilot to production, entry-price transparency, deployment flexibility, governance controls and publicly verifiable delivery evidence. No provider paid for placement.
Quick Answer: LuMay ranks first on our criteria because it publishes a Starter, Pilot and Production ladder and a $25,000 production pilot entry point. ScienceSoft suits long-horizon programs, Master of Code fixed-budget agent pilots, and HatchWorks AI nearshore enterprise programs.
What to Expect From Custom AI Development Services
A good provider should move you from a narrow use case to a governed production system without rebuilding everything twice. Ask how each phase ends and what you own at the end.
- Typical phases
- Discovery and workflow selection
- A pilot with real data and measurable outcomes
- Production build with security, monitoring and support
- Deliverables you should own
- Architecture, prompts, evaluation sets and integration code
- Clarify IP terms before the pilot starts
- Architecture, prompts, evaluation sets and integration code
Custom AI Development Services: Comparison Table
| Provider | Delivery model | Published pricing signal | Notable evidence |
|---|---|---|---|
| LuMay | Platform-first custom builds | Production pilot from $25,000 | Starter 1–2 weeks; SaaS, cloud, hybrid or on-prem |
| ScienceSoft | Full-cycle AI development | Not published | AI development since 1989; 750+ professionals |
| Master of Code Global | Agent and conversational AI builds | From $25k (third-party listing) | Fixed-budget 30-day pilot |
| Markovate | Custom AI and agent builds | From $50k (third-party listing) | Forward-deployed engineers |
| HatchWorks AI | Nearshore AI programs | Not published | SOC 2 examination completed |
| Azumo | Nearshore AI engineering | Pricing page published | Building intelligent apps since 2016 |
| InData Labs | AI and data science | Not published | 12+ years building AI systems |
| LeewayHertz | Custom AI apps and agents | Not published | Dedicated team and team-extension models |
| Grid Dynamics | Enterprise AI engineering | Not published | Architecture review at scale |
| RTS Labs | Applied AI and data engineering | Not published | Azure, Salesforce, Snowflake and AWS |
The 10 Best Custom AI Development Services, Ranked
1. LuMay
LuMay's Custom AI Solutions page says custom solutions start at $25,000 for a production pilot, with Starter (1–2 weeks), Pilot and Production Build packages on one platform.
The platform covers data connectors, agents, workflows, governance with audit logs and human approval, and deployment across SaaS, private cloud, customer cloud or on-premises.
- Best for: enterprises that want a priced pilot and a clear production path
- Watch: a younger brand than global integrators; ask for references in your industry
2. ScienceSoft
ScienceSoft says it has worked in AI since 1989 and has 750+ professionals, building from GenAI chatbots to multi-agent systems.
- Best for: long programs needing broad in-house roles, from compliance to QA
3. Master of Code Global
AI Agency Radar lists Master of Code from $25k and describes a fixed-budget pilot before a full agent build.
- Best for: customer-facing conversational agents
4. Markovate
Markovate offers forward-deployed senior engineers embedded in client teams. AI Agency Radar lists it from $50k.
- Best for: larger agent and voice builds with a dedicated pod
5. HatchWorks AI
HatchWorks AI is Atlanta-based per Hestur's agency list, runs nearshore teams, and states it has completed a SOC 2 examination.
- Best for: mid-market and enterprise programs on Databricks or Google Cloud
6. Azumo
Azumo says it has built intelligent apps since 2016 and offers nearshore AI engineers aligned to US time zones.
- Best for: teams adding AI to existing software products
7. InData Labs
InData Labs describes 12+ years of building production AI systems across fintech, healthcare, SaaS, retail and logistics.
- Best for: data-heavy ML and computer vision work
8. LeewayHertz
LeewayHertz offers dedicated development teams and team extension for custom AI applications.
- Best for: flexible staffing on agent and GenAI apps
9. Grid Dynamics
Grid Dynamics positions AI services for enterprise, with architecture and scalability reviews by senior engineers.
- Best for: retail and high-scale digital platforms
10. RTS Labs
RTS Labs focuses on applied AI and data engineering on Azure, Salesforce, Snowflake and AWS.
- Best for: mid-market firms pairing AI with data engineering
How to Evaluate a Custom AI Development Partner: Checklist
- Scope
- One workflow with a measurable outcome, not a platform wish list
- Data and integration
- Which systems will the AI read from and act in?
- Governance
- Role-based access, audit logs and human approval for critical actions
- Commercials
- Fixed pilot price, exit criteria and IP ownership
For budget planning, use our enterprise AI application cost estimation guide. For agent-specific builds, see LuMay AI agent development.
When Custom Development Is the Wrong Choice
If an off-the-shelf product covers most of the workflow, configure it instead. Custom work pays off when your data, approvals or integrations are the differentiator.
Ongoing operations matter too. Our managed AI services page explains what support after launch involves.
Next Step
Have one workflow ready for a pilot? Book a LuMay demo to scope a Starter or Pilot package.
