Reviewed by Dr. Dmytro Nasyrov, Founder and CTO
AI Consulting Services
Pharos Production offers AI consulting services that bridge the gap between business strategy and technical implementation.
- 25+ AI projects delivered
- 90+ engineers
- 90+ Clutch reviews
Aligned with these frameworks. Audit reports and certifications available on request.
Key takeaways: AI Consulting 5
AI consulting bridges the gap between business goals and technical implementation. These takeaways cover what to expect when engaging an AI strategy partner.
- Start with a Readiness Assessment A 2-3 week AI readiness audit evaluates data quality, infrastructure gaps and team skills before committing to a full implementation roadmap.
- Expect a 90-Day Roadmap Effective AI consulting delivers a prioritized 90-day plan with 3-5 use cases ranked by business impact and implementation feasibility.
- Budget for Proof of Concept A focused PoC typically costs 15-20% of the full project budget and validates feasibility in 4-6 weeks before scaling investment.
- Plan for Change Management Organizations that invest in team training alongside AI deployment see 2x higher adoption rates and 45% fewer rollback incidents.
- Measure Business Outcomes First Define 2-3 measurable KPIs before development starts - successful consulting engagements tie every deliverable to revenue, cost or efficiency metrics.
Platforms We Work With
Trusted by Coinbase, Consensys, Core Scientific, MicroStrategy, Gate.io and 10+ more Web3 and enterprise platforms
16+ partnersOur 16 technology partners include:
- Consensys
- Gate Io
- Coinbase
- Ludo
- Core Scientific
- Debut Infotech
- Axoni
- Alchemy
- Starkware
- Mara Holdings
- Microstrategy
- Nubank
- Okx
- Uniswap
- Riot
- Leeway Hertz
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Consensys
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Gate Io
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Coinbase
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Ludo
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Core Scientific
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Debut Infotech
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Axoni
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Alchemy
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Starkware
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Mara Holdings
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Microstrategy
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Nubank
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Okx
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Uniswap
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Riot
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Leeway Hertz
About Founder and CTO
Founder and CTO Pharos Production
I design and build reliable software solutions – from lightweight apps to high-load distributed systems and blockchain platforms.
PhD in Artificial Intelligence, MSc in Computer Science (with honors), MSc in Electronics & Precision Mechanics.
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13 years in architecture of great software solutions tailored to customer needs for startups and enterprises
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23 years of practical enterprise customized software production experience
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Lecturer at the National Kyiv Polytechnic University
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Doctor of Philosophy in Artificial Intelligence
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Master’s degree in Computer Science, completed with excellence
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Master’s degree in Electronics and precision mechanics engineering
Choose your cooperation model
Core software architecture, initial UI/UX, working prototype in 3 months
Software architecture, UI/UX, customized software development, manual and automated testing, cloud deployment
Comprehensive software architecture and documentation, UI/UX design layouts, UI kit, clickable prototypes, cloud deployment, continuous integration, as well as automated monitoring and notifications.
Prices vary based on project scope, complexity, timeline and requirements. Contact us for a personalized estimate.
Or select the appropriate interaction model
Request staff augmentation
Need extra hands on your software project? Our developers can jump in at any stage – from architecture to auditing – and integrate seamlessly with your team to fill any technical gaps.
Hire dedicated experts
Whether you’re building from scratch or scaling fast, our engineers are ready to step in. You stay in control, and we handle the code.
Outsource your project
From first line to final audit, we handle the entire development process. We will deliver secure, production-ready software, while you can focus on your business.
| Model | Best for | Team setup | Budget range |
|---|---|---|---|
| Staff Augmentation | Existing teams needing extra engineers at any project stage | 1-2 weeks | From $5,000/month |
| Dedicated Team Popular | Long-term projects requiring full ownership and control | 2-4 weeks | From $15,000/month |
| Project Outsourcing | Full-cycle development from idea to production launch | 1-2 weeks | $10,000-$80,000+ |
Technologies, tools and frameworks we use
Our engineers work with 45+ ai technologies - chosen for production reliability and performance.
AI and Machine Learning
LLM Providers 8
AI Frameworks 15
Vector Databases 7
MLOps and Infrastructure 11
AI Agent Tools 4
Partnerships & Awards
Recognized on Clutch, GoodFirms and The Manifest for software engineering excellence
An approach to the development cycle
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Team Assembly
Our company starts and assembles an entire project specialists with the perfect blend of skills and experience to start the work.
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MVP
We’ll design, build and launch your MVP, ensuring it meets the core requirements of your software solution.
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Production
We’ll create a complete software solution that is custom-made to meet your exact specifications.
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Ongoing
Continuous Support
Our company will be right there with you, keeping your software solution running smoothly, fixing issues, and rolling out updates.
AI consulting glossary 7
- AI readiness assessment
- A structured audit of an organization's data quality, infrastructure, skills and use cases to determine how prepared it is to deploy AI. It is the typical first step of an AI consulting engagement.
- Proof of concept (PoC)
- A small, time-boxed build that validates whether an AI use case is technically feasible and valuable before committing to a full project. It usually costs 15 to 20 percent of the full project budget.
- AI roadmap
- A prioritized plan that sequences AI use cases, infrastructure work and milestones over a defined horizon, commonly 90 days, with expected outcomes, timelines and resource estimates.
- Model selection
- The process of choosing between frontier LLMs, open-source models and custom-trained models based on accuracy, latency, cost, data residency and compliance requirements for a given use case.
- Data infrastructure assessment
- An evaluation of the data pipelines, storage, quality and governance an organization has, identifying the minimum work needed to support its prioritized AI use cases.
- AI governance
- The frameworks, controls and audit trails that keep AI systems compliant, transparent and safe, covering model risk, bias, explainability and data privacy across regulations like the EU AI Act and ISO/IEC 42001.
- Use-case prioritization
- Scoring candidate AI applications by business impact, technical feasibility and data readiness to focus investment on the few use cases that deliver measurable value first.
Frequently asked questions about AI Consulting Services
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AI consulting services cover AI readiness assessment, use-case discovery, technology and model selection, data infrastructure review, a prioritized roadmap and governance framework design. At Pharos Production we evaluate your existing systems, identify high-impact AI opportunities and deliver an actionable implementation plan with realistic timelines and resource estimates.
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AI consulting cost depends on scope. A focused 2 to 3 week AI readiness assessment is the typical entry point, while a full strategy and roadmap engagement runs higher. A proof of concept usually costs 15 to 20 percent of the full project budget. We provide a fixed-price scope before any work begins.
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AI strategy consulting defines what to build and why: readiness, use-case prioritization, ROI modeling and a roadmap. AI implementation consulting covers how to build it: architecture, model selection, data pipelines and delivery oversight. Pharos Production offers both, and can stay on to build the solution once the plan is validated.
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We run a structured discovery that maps your workflows, data and goals against where AI delivers measurable value. We score candidate use cases on impact, feasibility and data readiness, then prioritize a shortlist.
The output is 3 to 5 use cases with expected outcomes rather than a generic list of AI possibilities.
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Yes. We work with startups and small businesses as well as enterprises, scaling the engagement to your stage and budget. For smaller teams we focus on one high-value use case, a lean proof of concept and a pragmatic roadmap, so you validate AI before committing to a large build.
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No. You do not need a large data team to begin. We assess your current data and infrastructure, and most engagements start with the data you already have.
Where gaps exist we recommend the minimum pipeline work needed for your first use case rather than a full data platform rebuild.
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A readiness assessment takes 2 to 3 weeks and a strategy plus roadmap engagement typically runs 4 to 8 weeks. A proof of concept adds a few weeks depending on complexity. Advisory retainers are available for ongoing guidance, and we can transition into a build engagement when you are ready.
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Yes. Unlike advisory-only firms, Pharos Production validates recommendations with working prototypes and can build the full production solution with the same team. This removes the handoff gap between strategy and delivery, so the people who designed your AI roadmap also ship it.
Your business results matter
Achieve them with minimized risk through our bespoke innovation capabilities
What happens next?
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Contact us
Contact us today to discuss your project. We’re ready to review your request promptly and guide you on the best next steps for collaboration
Same day -
NDA
We’re committed to keeping your information confidential, so we’ll sign a Non-Disclosure Agreement
1 day -
Plan the Goals
After we chat about your goals and needs, we’ll craft a comprehensive proposal detailing the project scope, team, timeline and budget
3-5 days -
Finalize the Details
Let’s connect on Google Meet to go through the proposal and confirm all the details together!
1-2 days -
Sign the Contract
As soon as the contract is signed, our dedicated team will jump into action on your project!
Same day
Our offices
Headquarters in Las Vegas, Nevada. Engineering office in Kyiv, Ukraine.