AI development is the process of building software systems that can learn from data, reason about problems and take autonomous actions.
Pharos Production delivers custom AI development services for enterprises and startups. Our team of 90+ engineers builds production-grade AI agents, LLM integrations, RAG systems and intelligent automation platforms. With 13+ years of software engineering experience and ISO 27001-aligned security controls, we bring enterprise reliability to cutting-edge AI. From proof of concept to production deployment, we handle the complete AI development lifecycle.
5.0/5 · 108 reviews
4.9/5 · 147 reviews
5.0/5 · 27 reviews
282 published client reviews across 3 platforms. Counts are summed; reviewers may appear in more than one source.
Profiles checked . Glassdoor: 46 employee reviews, 5.0/5, reported separately.
Enterprise-grade AI with responsible governance, data privacy and production-ready deployment
Practice led by Dmytro Nasyrov
Founder and CTO
23+ years in software development. PhD in AI. Led 110+ projects including AI agents, ML platforms and intelligent automation systems, ISO 27001-aligned.
Technically reviewed by Victor Sineglazov, D.Sc.
Independent AI Scientific Advisor
Professor, Artificial Intelligence Department, Igor Sikorsky Kyiv Polytechnic Institute. Head of the Aviation Computer-Integrated Complexes Department, Kyiv Aviation Institute.
Reviewed for technical accuracy on August 15, 2026. Not an endorsement of any commercial claim on this page.
How much does AI development cost in 2026? AI development costs range from $10,000 for simple chatbots to $500,000+ for enterprise multi-agent systems. The final cost depends on four factors: model complexity, data preparation needs, integration scope and ongoing inference costs. AI development cost by project type Simple AI features like FAQ chatbots and basic […]
Quick Comparison: Build vs Buy Factor Build Custom Buy/Platform Time to first version 8-16 weeks 1-2 weeks Annual cost (enterprise) $100K-$300K dev + $20K infra $50K-$200K licensing Flexibility Full control Vendor roadmap Integration depth Custom APIs, deep system access Pre-built connectors IP ownership Assigned to you in writing under the contract Vendor owns core logic […]
Enterprise AI adoption in 2026 is at a tipping point. 78% of enterprises report using AI in at least one business function, but only 22% have successfully scaled AI beyond pilot projects, according to the McKinsey Global AI Survey (2024). The gap between experimentation and production deployment is where most AI initiatives fail - not […]
| Factor | Custom AI Development | Off-the-Shelf (ChatGPT API, Jasper, etc.) |
|---|---|---|
| Data privacy | Your data stays in your infrastructure, behind your firewall | Data sent to third-party servers, shared infrastructure |
| Customization | Models fine-tuned on your domain data, custom workflows | Limited to platform capabilities and templates |
| Integration | Deep integration with your CRM, ERP, databases and internal tools | Pre-built connectors only, limited API flexibility |
| Cost at scale | One-time development + self-hosted inference, predictable costs | Per-token or per-request pricing, costs grow with usage |
| Competitive advantage | Proprietary AI that competitors cannot replicate | Same tools available to your competitors |
| Performance | Optimized for your specific use cases and data | General-purpose, may underperform on domain tasks |
| Governance | Full control over model behavior, guardrails and audit trails | Limited control, vendor decides model updates |
Pharos Production recommends custom AI development for enterprises with proprietary data, regulatory requirements or competitive differentiation needs. Off-the-shelf platforms work well for standard use cases like content generation or basic chatbots where customization is not critical.
See the products we built and the engineering work involved. Each case describes its scope and delivery context.
Pharos Production collaborated with a taxi aggregator platform to develop a high-load ride-hailing application that connects passengers and drivers in real time. This platform consolidates various fleets and independent drivers into a single system, ensuring quick ride matching, live tracking and transparent pricing. Built on a cloud-native infrastructure, the solution offers low-latency interactions, reliable trip processing and scalability for operations at the city and regional levels.
Pharos developed a B2B platform that brings keyword research and search visibility analysis together with search data APIs, public-web collection and access through AI assistants. Our responsibility covered the full product.
Pharos Production has partnered with Sagas to create a location-aware social platform that enables users to capture, publish and explore geo-located timelapses over time. This system combines real-time data ingestion, large-scale media processing and map-centric discovery to transform physical locations into dynamic digital stories. Leveraging cloud-native infrastructure and event-driven architecture, Sagas allows users to document urban changes, natural evolution and personal moments tied to specific places. The result is a scalable social network where time and location are central to content discovery.
Independent reviews from Clutch, GoodFirms and direct client testimonials - verified feedback on our software projects
Company feedback: 282 published client reviews across dated profiles
Proprietary research based on AI projects delivered by Pharos Production. Dataset covers AI agents, LLM integrations, RAG systems and intelligent automation platforms. Methodology (Pharos Verified Delivery): aggregated delivery metrics with production monitoring data. Full report available on request.
Key technology shifts that impact how Pharos Production architects ai development company software for clients.
Agentic AI and Multi-Agent Systems
AI is shifting from passive assistants to autonomous agents that plan, reason and execute multi-step tasks. Multi-agent architectures where specialized agents collaborate (researcher, writer, reviewer) outperform single-model approaches. Pharos Production builds multi-agent systems with LangGraph, CrewAI and custom orchestration layers.
RAG and Knowledge-Grounded AI
Retrieval-Augmented Generation grounds LLM outputs in verified data, reducing hallucinations by 70-90%. Enterprise RAG systems combine vector databases (Pinecone, Weaviate), semantic search and source attribution. Pharos Production builds production RAG pipelines with sub-200ms retrieval latency.
LLM Fine-Tuning and Domain Adaptation
General-purpose LLMs underperform on specialized tasks. Fine-tuning with LoRA and DPO creates domain-expert models at a fraction of full training cost. Pharos Production fine-tunes open-source models (LLaMA, Mistral) for legal, medical and financial applications.
AI Governance and Responsible AI
Enterprise AI adoption requires guardrails: content filtering, PII masking, bias detection, audit trails and human-in-the-loop controls. 60% of organizations lack a formal AI governance strategy. Pharos Production implements governance frameworks from the architecture phase.
Edge AI and On-Device Inference
Running AI models on edge devices (mobile, IoT, embedded) eliminates cloud latency and data privacy concerns. Model quantization and ONNX Runtime enable GPT-class capabilities on consumer hardware. Pharos Production deploys optimized models for edge inference.
AI-Powered Development Tools
AI agents now write, review and test code autonomously. 90% of boilerplate code is AI-generated in 2026. Pharos Production uses AI-assisted development internally and builds custom AI coding tools for enterprise clients.
Agree on scope and acceptance criteria before implementation. Review working increments, release readiness and support responsibilities at each delivery gate.
Confirm requirements, technical dependencies and the estimate.
Review working increments against agreed acceptance criteria.
Check deployment, monitoring, documentation and release ownership.
Agree on maintenance coverage and responsibility after handover.
Founder and CTO Pharos Production
13 years in architecture of great software solutions tailored to customer needs for startups and enterprises
23 years of practical enterprise customized software production experience
Lecturer at the National Kyiv Polytechnic University
Doctor of Philosophy in Artificial Intelligence
Master's degree in Computer Science, completed with excellence
Master's degree in Electronics and precision mechanics engineering
Pharos Production scopes engagements in three tiers, AI discovery and PoC, Production AI system and Enterprise AI platform, with typical budgets from $15,000 to $500,000+ depending on scope and complexity.
Feasibility study, prototype on your data and integration roadmap in four to eight weeks.
Full model development, API layer, cloud deployment and MLOps with monitoring.
Multi-model architecture, custom data infrastructure, compliance and hybrid or on-prem delivery.
Prices vary based on project scope, complexity, timeline and requirements. Hourly rates range from $50 to $99 depending on role and seniority. Contact us for a personalized estimate.
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.
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.
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+ |
Our company starts and assembles an entire project specialists with the perfect blend of skills and experience to start the work.
We'll design, build and launch your MVP, ensuring it meets the core requirements of your software solution.
We'll create a complete software solution that is custom-made to meet your exact specifications.
Our company will be right there with you, keeping your software solution running smoothly, fixing issues and rolling out updates.
We select the stack for your product, integrations and operating requirements.
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Pharos Production has been in business since 2013, with over 13 years of experience in custom software development. During this time, we have delivered over 110 applications for 200+ clients across 28 industries, including FinTech, healthcare, crypto and e-commerce. We are rated 5/5 on Clutch based on 107 verified reviews (2026).
Pharos Production provides six core service categories: AI Development (LLM applications, AI agents, machine learning and computer vision), Blockchain and Web3 (smart contracts, DeFi, tokenization on Ethereum, Solana, TON and other chains), FinTech Development (payment platforms, digital banking, KYC and AML integration), Software Development (mobile apps, web platforms, database design, UI/UX), Security and QA (code audits, penetration testing, smart contract audits, manual and automated testing) and Consulting (architecture design, MVP validation, startup consulting).
Pharos Production is headquartered in Las Vegas, Nevada, USA (5348 Vegas Dr, Las Vegas, NV 89108), with an engineering office in Kyiv, Ukraine (44-B Eugene Konovalets Str. Suite 201, Kyiv 01133). We work with clients worldwide and provide remote collaboration across all time zones. Visit our contact page for directions and scheduling options.
Pharos Production has a team of 90+ engineers, including software developers, blockchain specialists, QA engineers, DevOps experts, UI/UX designers, project managers and solution architects. Our founder, Dr. Dmytro Nasyrov, holds a PhD in Artificial Intelligence and leads the technical direction of all projects.
We serve a wide range of clients, from startups and product companies to mid-sized enterprises and large institutions. Our clients include crypto exchanges, FinTech providers (like Pleenk), healthcare organizations, sportsbook operators (like Pro Gambling), e-commerce platforms and SaaS companies. Pharos Production has worked with 200+ clients across 28 industries since 2013, adapting engagement models to match each client's stage, whether it is MVP validation for a startup or enterprise-scale development for an established business.
A custom software development company like Pharos Production assigns one dedicated engineering team that owns your product across multiple release cycles, instead of handing it off once a contract ends. Agencies more often rotate staff between clients and optimize for fast delivery over long-term product ownership.
Pharos Production keeps the same team on your codebase through 2-week sprints, so there is no re-onboarding cost each time you request a new feature.
Custom software development costs vary based on project scope and complexity. At Pharos Production, typical project ranges are: MVP development ($10,000-$25,000), suitable for startups validating a product idea; full-fledged production ($25,000-$50,000), for established businesses scaling a proven concept; and full-cycle development ($50,000-$80,000+), for complex enterprise-grade systems. These ranges include architecture design, development, QA testing and deployment. Hourly rates range from $50 to $99 depending on role and seniority. Final pricing depends on technology stack, number of integrations and engagement model (staff augmentation, dedicated team or project outsourcing).
Development timelines depend on scope and complexity. At Pharos Production, a typical MVP takes 2-4 months, a production-ready application takes 4-8 months and a complex enterprise system can take 8-12+ months. We use an agile methodology with 2-week sprints, delivering working increments after each sprint. Every sprint includes a retrospective, progress report and planning session for the next iteration. This approach ensures transparency and allows businesses to launch faster by prioritizing high-impact features first. Get a timeline estimate for your project.
Pharos Production serves 28 industries: FinTech, MiCA Compliance, Banking, Insurance, Crypto, Healthcare, Fitness, E-Commerce, Food & Restaurant, On-Demand, Manufacturing, Automotive, Energy, Oil & Gas, Supply Chain, Construction, Real Estate, Gaming, Streaming, Media, Telecom, Education, Aviation, Travel, Logistics, Marketing, Agriculture and Recommender Systems. Our deepest expertise is in FinTech, blockchain and healthcare, where we have delivered compliance-ready platforms (HIPAA, PCI DSS, GDPR) and high-load systems handling thousands of concurrent users. For the latest industry insights, read our guides on FinTech trends in 2026 and the Web3 technology stack.
Hiring a software development company offers faster time-to-market, lower upfront costs and access to specialized expertise without long-term employment commitments. According to Deloitte's 2024 Global Outsourcing Survey, 57% of companies outsource software development to access skills they cannot hire internally.
| Factor | In-house team | Software development company |
|---|---|---|
| Time to assemble | 3-6 months (recruiting + onboarding) | 1-2 weeks |
| Upfront cost | High (salaries, benefits, equipment) | Lower (project-based pricing) |
| Specialized expertise | Limited to who you can hire locally | Access to 90+ engineers across blockchain, AI, FinTech |
| Scalability | Slow (each new hire takes months) | Fast (scale up or down per sprint) |
| Long-term commitment | Full-time employment contracts | Flexible engagement models |
| Risk | High if key engineers leave | Company ensures continuity and knowledge transfer |
For businesses that need blockchain, AI or high-load architecture expertise, outsourcing to a specialized firm like Pharos Production reduces risk and accelerates delivery.
Pharos Production focuses on mid-to-large custom software projects with budgets starting at $10,000. We do not take on template-based websites, WordPress theme customization or short-term contracts under one month. We also do not provide non-technical staffing (marketing, sales or design-only roles). Our strongest fit is blockchain, FinTech and healthcare projects where security, compliance and high-load architecture are critical. For smaller projects or MVPs under $10,000, we recommend exploring freelance platforms or no-code tools as a more cost-effective starting point.
We use agile with 2-week sprints because it reduces the risk of building features that miss the mark. Each sprint ends with a working demo, a retrospective and a plan for the next iteration.
This means clients see progress every 14 days and can adjust priorities based on real results, not assumptions. We chose this approach after years of experience showing that rigid, fixed-scope contracts lead to scope creep, missed deadlines and products that do not match market needs by launch day.
Custom development is not the right choice in every situation. You should not hire a custom software company if: your problem is fully solved by an existing SaaS product (e.g. Shopify for e-commerce, Salesforce for CRM); your budget is under $10,000 and timeline is under 4 weeks; you need a simple landing page or marketing website (WordPress or Webflow is faster and cheaper); or you are still validating the idea and have not spoken to potential users yet.
In these cases, off-the-shelf tools or no-code platforms offer better ROI. Custom development makes sense when you need unique workflows, regulatory compliance, high-load architecture or competitive differentiation that packaged software cannot provide.
Here are three anonymized examples from our recent delivery history:
FinTech startup - payment platform (MVP)
Scope: mobile app + backend API with bank-grade encryption. Team: 4 engineers, 1 QA. Timeline: 10 weeks. Budget: $38,000. Result: launched on schedule, processed $2M+ in transactions within the first quarter.
Healthcare provider - patient portal (Full product)
Scope: HIPAA-aligned web platform with EHR integration, appointment scheduling and telemedicine. Team: 6 engineers, 1 DevOps, 2 QA. Timeline: 6 months. Budget: $120,000. Result: 15,000+ active patients, zero compliance violations in two annual audits.
Crypto exchange - trading engine (Complex)
Scope: high-load matching engine handling 50,000+ orders per second, multi-chain wallet infrastructure on Ethereum and Solana. Team: 8 engineers, 2 QA, 1 security auditor. Timeline: 11 months. Budget: $340,000. Result: 99.97% uptime, passed three independent security audits.
See more projects: NoMoreBets, Pulse, Sagas, Gambit Stream and Pleenk. For the full portfolio, visit our case studies. Learn more about the technology behind these projects in our guide to stablecoins and crypto infrastructure.
90+ engineers ready to deliver your AI Development Company project on time and within budget
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
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1 dayAfter we chat about your goals and needs, we'll craft a comprehensive proposal detailing the project scope, team, timeline and budget
3-5 daysLet's connect on Google Meet to go through the proposal and confirm all the details together!
1-2 daysAs soon as the contract is signed, our dedicated team will jump into action on your project!
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