01
Data readiness
Clean, structured data ready to use adds nothing to the base estimate. Unstructured data requiring significant prep can add 30–70% to project cost.
Cost driver
PRICING
UPDATED 2026
AI Development Cost in 2026:Pricing by Service Type
What LLM integration, RAG, AI agents, computer vision, and custom ML models actually cost — with an instant estimate calculator below. No range hidden behind a "contact us" form.
KEY
STATS
$2K–60K+
Full pricing range by scope
9
Service types priced below
4
Engagement models to choose from
40+
AI systems shipped by our team
CALCULATOR
Get an Instant Estimate
Scope-based estimate. Final quote depends on data readiness and integration complexity — this gets you within range in under a minute.
ESTIMATED PROJECT RANGE
$26K – $46K
Excludes ongoing model hosting/inference costs
COST
BY SERVICE
AI Development Cost by Service Type
Base pricing before data-readiness and integration-scope multipliers. Detailed cost breakdowns and use-case pricing live on each service's dedicated page.
LLM Integration & Fine-Tuning
Timeline
2–8 weeks
Cost
$5K–40K
RAG Pipeline Development
Timeline
2–4 weeks
Cost
$8K–15K
AI Agent Development
Timeline
3–10 weeks
Cost
$15K–50K
Computer Vision
Timeline
3–10 weeks
Cost
$8K–40K
NLP & Text Intelligence
Timeline
3–8 weeks
Cost
$6K–30K
Predictive Analytics & ML
Timeline
4–10 weeks
Cost
$12K–35K
Generative AI (Content/Media)
Timeline
3–6 weeks
Cost
$8K–25K
AI Chatbots & Virtual Assistants
Timeline
2–6 weeks
Cost
$6K–20K
MLOps & Model Deployment
Timeline
1–4 weeks
Cost
$3K–25K+
| Service | Typical Timeline | Typical Cost |
|---|---|---|
LLM Integration & Fine-Tuning | 2–8 weeks | $5K–40K |
RAG Pipeline Development | 2–4 weeks | $8K–15K |
AI Agent Development | 3–10 weeks | $15K–50K |
Computer Vision | 3–10 weeks | $8K–40K |
NLP & Text Intelligence | 3–8 weeks | $6K–30K |
Predictive Analytics & ML | 4–10 weeks | $12K–35K |
Generative AI (Content/Media) | 3–6 weeks | $8K–25K |
AI Chatbots & Virtual Assistants | 2–6 weeks | $6K–20K |
MLOps & Model Deployment | 1–4 weeks | $3K–25K+ |
COST
FACTORS
What Actually Moves the Price
These are the three biggest cost drivers behind every AI project. Understanding them upfront helps you scope accurately and avoid surprises later.
02
Integration scope
A standalone tool is cheapest. Multi-system enterprise integration — touching several existing platforms — is the largest cost driver after data readiness.
Cost driver
03
Compliance requirements
HIPAA, SOC 2, or GDPR-aligned builds add audit trails, access controls, and review cycles that increase both cost and timeline.
Cost driver
ENGAGEMENT
MODELS
How You Can Work With Us
Flexible engagement models designed to match your goals, timeline, and budget.
FIXED SCOPE
Fixed Price
Defined scope and deliverables upfront. Best when requirements are clear.
TIME & MATERIALS
Sprint-Based
Pay per sprint with flexible scope. Best for evolving use cases.
DEDICATED TEAM
Ongoing Retainer
A named AI team on monthly retainer, embedded in your roadmap.
POC / PILOT
Low-Risk Entry
Scoped proof-of-concept to validate feasibility before full build.
Want an exact number, not a range?
Call +1 (582) 233-5015 — free feasibility read, no sales pitch on the first call
OUR
TESTIMONIALS
Our Work
Speaks For Us
Speaks For Us
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Contact
Us
Partner with Us for
Custom AI Development
and AI That Actually Ships
Custom AI Development
and AI That Actually Ships
YourBenefits
LLM & RAG Integration
Custom ML Models
AI Agents & Automation
HIPAA & SOC 2-Aligned Builds
Full IP Ownership
Post-Launch Model Monitoring
What happens
next?
next?
We Schedule a call at your convenience
We do a discovery and consulting meeting
We prepare a proposal
FAQ
Frequently Asked
Questions
Most projects fall between $8K and $40K depending on service type. Simple integrations like a RAG-based knowledge assistant start around $8K–15K, while custom ML models, AI agents, or enterprise platforms range $25K–60K+.
A prompt-engineering layer on top of an existing LLM API, without RAG or fine-tuning, typically costs $5K–12K and ships in 1–3 weeks. See our LLM Integration Guide for the full pattern breakdown.
Scope definition varies — some quotes include evaluation, monitoring, and compliance work; others don't. Ask what's included in the estimate, not just the top-line number.
No — the ranges above cover the build. Ongoing costs (token usage, hosting, monitoring, periodic retraining) are separate and vary by usage volume. See our MLOps checklist for what ongoing maintenance typically includes.
Yes — a scoped POC or pilot (typically $5K–10K) is the standard way to validate feasibility and accuracy before committing to a full production build.