“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.”
“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.”
“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.”
“Pharos Production offers custom software development across web, mobile, AI, blockchain and cloud. Our catalog covers full-stack engineering, FinTech and Web3 platforms, AI agents and LLM integration, plus dedicated teams and staff augmentation. We work from MVP through enterprise-scale systems with a team of 90+ engineers operating since 2013.”
“Start with your goal: a new product MVP, scaling an existing platform, adding AI or modernizing legacy software. Each service page lists what it includes, typical timelines and cost ranges. If you are unsure, we scope a fixed-price discovery first and recommend the right engagement before any code is written.”
“Yes, both. We run fixed-price projects with a defined scope for well-specified work, and dedicated team or staff augmentation models for ongoing development. The dedicated model embeds vetted senior engineers in your processes and tools, while fixed-price suits a clear deliverable with a firm budget.”
“Pharos Production develops custom healthcare applications including patient portals, electronic health record (EHR) systems, medical data management platforms, mobile health (mHealth) apps and clinical workflow automation tools. Each solution is designed around specific clinical needs and regulatory requirements of the healthcare organization.”
“We scope secure development around the workflow, data and applicable obligations. For HIPAA-covered processing, this includes the client and business-associate responsibilities, a BAA where required, access controls, logging and security assessment. The delivery acceptance record describes tested controls and remaining responsibilities; a software release does not itself establish organization-wide compliance. Discuss your workflow and compliance scope.”
“Pharos Production integrates new healthcare solutions with existing EMR, EHR, billing, scheduling and third-party clinical platforms to establish seamless data exchange. The team has experience with HL7 FHIR, DICOM and other healthcare interoperability standards. Integration projects typically include API development, data migration and end-to-end testing with the client's existing systems. See MedCore EHR Platform for an integration case study.”
“Build an agent when the task requires multi-step reasoning, tool use (databases, APIs, code execution), conversation state across turns or routing between specialized capabilities. Use a direct LLM call (OpenAI/Anthropic SDK) for single-shot tasks: classification, summarization, structured extraction, single-question Q&A. Most "AI features" are actually direct calls. Agents are for workflows, not features.”
“Allow 2-3 weeks for discovery and evaluation planning, then an estimated 6-10 weeks for a single-purpose MVP. A production multi-agent system with monitoring is estimated at 4-6 months. These are scope-dependent planning ranges, not additive fixed phases or delivery guarantees. Data access, tool integration and acceptance criteria affect the schedule.”
“Pilot agent $60,000-$120,000. Production multi-agent system $240,000-$680,000. Enterprise platform $510,000-$1,600,000. Cost drivers: number of tools the agent integrates with, evaluation set complexity, observability and audit logging, regulatory requirements, post-launch monitoring tier. The biggest hidden cost is NOT the LLM bill - it is the evaluation set, guardrails and observability you need to safely run agents in production.”
“No. RPA (robotic process automation) typically means screen-scraping UIs to automate clicks. We do not build that - when a real API exists, API integration is always better than RPA. We build automations that combine API integration, ML for fuzzy decisions, rules for deterministic cases and a human review queue for edge cases.”
“When you have a high-volume repetitive decision with a measurable baseline of cost and cycle time, where humans are spending time on cases the machine can handle and where the business can define acceptable accuracy trade-offs. When one of those is missing, we recommend process redesign or workflow consolidation instead.”
“Every automation ships with a human review queue for low-confidence cases. Confidence thresholds are set during discovery based on the business cost of false positives vs false negatives. High-volume low-stakes decisions (ticket categorization) can ship at 85% confidence auto-approval; high-stakes decisions (compliance flags, medical dosing) require 95%+ confidence or always-human-review.”
“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.”
“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.”
“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.”