How to choose an AI agent development company
Most buyer guides rank vendors by employee count or by who paid for placement. Both are useless. The right ranking depends on what you're trying to build, who will lead it on your side, and what risk you can absorb.
The six criteria that actually predict whether an engagement works:
- Specialisation fit. Does the company build the exact kind of agent you need? Generalist agencies do everything badly. Pick one that has shipped your category three times.
- Pricing model. Fixed-price for well-scoped work, time-and-materials for genuinely exploratory R&D. Hourly is a red flag unless you can really estimate the spend.
- Geography & timezone. If your team works EU hours, an India-based vendor with 5-hour sync windows costs you weeks. Match timezones.
- Tech stack. If you already run on AWS or GCP, picking a vendor whose stack is the other one creates integration tax. Match where possible.
- Post-launch support. Does the engagement include 30 or 60 days of bug fixes after handover? Or are you on your own day one?
- Hireability after handover. Will you be able to hire engineers off LinkedIn who know this stack? n8n + Claude yes. Niche framework only the vendor knows, no.
Decision matrix by ICP
Match company size to project size. The vendor tier that fits an SMB is different from the tier that fits a Fortune 500 procurement.
| Your ICP | Project size | Right vendor tier |
|---|---|---|
| SMB / startup | $15K-80K | Boutique studio (1-15 people) |
| Marketing agency | $30K-150K | Boutique with agency partnership model |
| Mid-market ($10M-200M revenue) | $80K-400K | Mid-tier agency (50-200 people) |
| Enterprise (Fortune 500) | $400K-3M | Tier-1 vendor with compliance practice |
10 companies reviewed
1. LeewayHertz
Best for: Mid-market and enterprise projects needing broad capability.
Pricing: Mid-to-high. Project starts ~$80K, enterprise builds run $500K+.
Tech focus: Generalist AI development across most stacks. Strong content footprint, ranks for nearly every commercial AI query.
Honest take: The content authority of the AI agency category. Reliable for mid-market work where you want a known name. Less specialised than boutiques on niche stacks.
2. AppInventiv
Best for: Mid-market app and AI development with strong delivery track record.
Pricing: Mid. Projects $50K-300K typical.
Tech focus: AI plus mobile and web apps. Largest keyword surface in the category.
Honest take: Brand-name agency, broad capability. Strong for buyers who want one vendor to handle AI plus app dev. Less differentiated on agentic specifically.
3. MasterOfCode
Best for: Conversational AI and chatbot-heavy builds.
Pricing: Mid. Chatbot projects $30K-200K.
Tech focus: AI agents in the conversational and customer-service space.
Honest take: Strong if your problem is a high-volume conversational interface. Less obvious for non-conversational agentic systems.
4. Neurons Lab
Best for: Boutique enterprise AI consulting.
Pricing: Mid-to-high. Projects $100K-500K.
Tech focus: Enterprise AI consulting, ML and agentic builds, strong on data science depth.
Honest take: Closest match to DK Studio in scale. They lean enterprise, we lean SMB and agency. Direct competitor for mid-market work.
5. Markovate
Best for: Mid-market AI builds with clear product scope.
Pricing: Mid. Projects $30K-200K.
Tech focus: AI agents and AI app development.
Honest take: Smaller boutique with reasonable track record. Worth a call for mid-market projects where DK Studio capacity is full.
6. DK Studio (us)
Best for: SMB and marketing agency clients shipping AI agents and MVPs in 4 to 8 weeks.
Pricing: Boutique. Projects $15K-80K typical, fixed price.
Tech focus: Custom agentic builds on Claude and OpenAI, n8n + LLM automations, AI MVPs. We use the same stack we sell.
Honest take: Full disclosure, this is us. We're a three-founder team. Right fit for SMBs and agencies who want senior people on every project. Wrong fit for enterprise procurement that needs SOC 2, MSAs, and 30-day legal review.
7. Lindy
Best for: Buyers who want a platform, not a custom build.
Pricing: SaaS subscription, not project-based.
Tech focus: Platform for building AI agents without code.
Honest take: Not technically a development company, but worth listing because for many use cases the question is "platform or custom build". Lindy is the answer if your needs fit their templates.
8. Voiceflow
Best for: Conversational AI without code.
Pricing: SaaS subscription.
Tech focus: Visual builder for conversational AI and chatbots.
Honest take: Same logic as Lindy. Worth evaluating before paying for custom build if your scope fits a templated chatbot.
9. Vellum
Best for: Technical teams building LLM apps internally.
Pricing: SaaS plus services.
Tech focus: LLM workflow tooling and consulting.
Honest take: More tooling than agency, but they take consulting work. Good for teams that want to own the build with help from people who do this every day.
10. Accenture / Deloitte / IBM (the tier-1s)
Best for: Enterprise procurement that requires brand-name vendors.
Pricing: Enterprise. $1M+ engagements typical.
Tech focus: Generalist consulting plus AI practice. Deep compliance, change management, training.
Honest take: If procurement requires a tier-1 logo on the contract, this is the answer. Otherwise the cost-to-output ratio is brutal compared to a boutique. Pick on procurement need, not on AI capability.
Comparison matrix
| Vendor | Tier | Project size | Best fit |
|---|---|---|---|
| DK Studio | Boutique | $15K-80K | SMB, agencies, mid-market boutique |
| Markovate | Boutique | $30K-200K | Mid-market product builds |
| MasterOfCode | Mid-tier | $30K-200K | Conversational AI |
| Neurons Lab | Mid-tier | $100K-500K | Boutique enterprise consulting |
| AppInventiv | Mid-tier | $50K-300K | Brand-name mid-market |
| LeewayHertz | Mid-tier | $80K-500K | Generalist mid-market |
| Lindy / Voiceflow / Vellum | Platforms | SaaS | Templated builds without custom dev |
| Accenture / Deloitte / IBM | Tier-1 | $1M+ | Enterprise procurement requirement |
A simple decision rule
If your project is under $80K and you want senior people, pick a boutique. If your project is between $80K and $400K, evaluate two boutiques and one mid-tier. If you're writing a Fortune 500 RFP, your procurement team will tell you which tier-1 to pick because of compliance requirements that have nothing to do with AI quality.
The expensive mistake is hiring up a tier. Paying tier-1 prices for boutique-tier work is the most common waste in AI procurement. The opposite mistake (boutique handling enterprise compliance) breaks delivery, not budget.