AI Development Services
Proven Before You Pay
PixelForge Labs delivers AI development services for businesses that need real, working systems: AI agents, LLM-powered workflows, research tools, and generative AI features, built by engineers with 20+ years of experience and deployed on AWS. Every engagement starts with a free proof of concept, so you see it work before you spend a dollar.
What Our AI Development Services Cover
From a single agent to a full platform, we build production systems, not demos
AI Agents
Autonomous agents that answer calls, qualify leads, run research, and handle support around the clock. The same agents that power our clients today, built for your workflows.
LLM-Powered Workflows
Language models wired into your real business processes: intake, document review, drafting, routing, and follow-up, with humans in the loop where it matters.
AI Search & Research Tools
Systems that search, read, and synthesize across large data sources and return structured, decision-ready reports in minutes instead of hours.
Custom ML Integrations
Machine learning connected to your existing stack: CRMs like GoHighLevel, HubSpot, Salesforce, Zoho, and Pipedrive, plus your databases, APIs, and internal tools.
Generative AI Features in Existing Products
Our generative AI development services add drafting, summarization, chat, and content generation directly into the software you already ship to your customers.
Looking for done-for-you lead capture and CRM automation instead? See our AI automation services.
AI Consulting Services and Hands-On Builds: We Do Both
Some firms only advise. Some only code what you spec. We close the gap between the two.
Strategy Engagements
Our ai consulting services help you decide where AI actually pays off in your business: which workflows to automate first, whether to build or buy, which models fit your data and budget, and how to roll out without disrupting your team.
- AI opportunity assessment across your operations
- Build vs buy recommendations with honest tradeoffs
- Model and vendor selection, fully vendor neutral
- Roadmap with costs, timelines, and expected ROI
Hands-On Builds
Then we build it. The same engineers who scope your strategy write the code, integrate the models, connect your CRM and data, and deploy on AWS. No handoff to a separate delivery team, no strategy deck that gathers dust.
- Working proof of concept before any contract
- Production engineering, testing, and deployment
- Integration with your existing software and data
- Ongoing optimization after launch
Real AI Systems, Built for Real Clients
Not mockups, not pilots that never shipped. Software running in production today.
Patent Profiler LLC
We built AI patent and trademark search agents that work across USPTO, Google Patents, and WIPO simultaneously. The agents produce attorney-style prior art and clearance reports in minutes, work that traditionally takes hours of manual research. The platform is now scaling toward enterprise use.
TeQius
An AI learning platform where intelligent tutoring and content generation adapt to each learner. We handled the AI architecture, the model integrations, and the product engineering end to end.
OGAdvisors
A CRM and automation pipeline where AI handles lead intake, qualification, and follow-up, so the team spends its time on qualified prospects instead of data entry.
Read the full stories on our case studies page.
How an Engagement Works
Proof first, payment second
Free Proof of Concept
We scope your highest-value use case and build a working proof of concept at no cost. You test it against real scenarios and decide with evidence, not a sales pitch.
Choose Your Path
Move into a monthly package, from Foundation at $1,950/mo to Full Department at $5,450/mo, or scope a fixed-price custom build for larger platforms.
Ship and Improve
We deploy to production on AWS, monitor real usage, and keep improving accuracy and coverage. You get an engineering partner, not a one-time vendor.
Compare every package on our pricing page. Based in Minnesota? Start with our Minnesota AI automation page.
Engineering Depth Behind Every Build
20+ Years of Engineering
Founder John Akhilomen has spent more than two decades building production software. This is an engineering firm that adopted AI, not a prompt shop that discovered code.
AWS Cloud Deployment
Systems are deployed on AWS with proper environments, monitoring, and scaling, so what we build for your proof of concept can grow to enterprise load.
Enterprise Architecture
We design for the long term: clean service boundaries, documented APIs, and systems your own team can maintain. Metalsa trusts us with a global production management system.
Security, Roles, and Permissions
Role-based access control, audit trails, and data handling designed in from day one, not bolted on after launch.
Frequently Asked Questions
How much do AI development services cost?
Every engagement starts with a free proof of concept, so you see working software before paying anything. From there, ongoing packages run from $1,950/mo (Foundation) to $3,450/mo (Growth) and $5,450/mo (Full Department), and larger custom builds are scoped as fixed projects. You can compare packages on our pricing page.
How long does an AI project take?
A proof of concept is typically ready in one to two weeks. Production launches of agents and workflows usually land in four to eight weeks. Larger custom platforms, like a full research tool or a generative AI product feature, are scoped in phases so you ship something useful early rather than waiting months for a big reveal.
Should we build custom AI or buy an off-the-shelf tool?
Buy off the shelf when a generic tool fits your workflow exactly and your data is not a differentiator. Build custom when the AI needs your data, your processes, or your product to create value, which is most of the interesting cases. Our ai consulting services often start with exactly this question, and we will tell you honestly when an existing tool is the better answer.
Which AI models and vendors do you use?
We are vendor neutral. We work with Anthropic, OpenAI, and open-source models, and we choose based on your accuracy, cost, latency, and data requirements, not on a reseller relationship. We also design so the model layer can be swapped later, because this market changes fast and your architecture should not be married to one vendor.
How do you handle data privacy?
Your data stays yours. We deploy on your cloud accounts when required, use API tiers where providers do not train on your data, and design role-based access and audit logging into every system. For regulated industries we scope what the AI can see and add escalation paths for sensitive information, and we review compliance requirements during the free proof of concept.
See Your AI Working Before You Pay a Dollar
Tell us the workflow you want automated or the product you want to build. We will deliver a working proof of concept for free, and you decide from there.
Or call us directly at (952) 234-8836