
AI engineers who actually know how to build RAG that survives in production
We brought Pharos Production on board at Cairn AI for a generative AI build because we needed retrieval-augmented generation, drafting, and summarization running directly over our internal company data. I’ve seen way too many dev shops charge massive budgets just to wrap a basic API, promise zero hallucinations without a...
AI-Powered Blockchain Web Platform Dev.
Pharos Production designed and developed an advanced AI-powered blockchain web platform for our marketing company. Their scope of work covered comprehensive UX/UI design, custom AI model integration and secure blockchain setup from the ground up. The impact on our daily operations has been substantial. The platform they built significantly reduced the...
If you're building in Web3 finance, Pharos is the team you want in your corner.
If you need serious Ethereum and Web3 engineering for finance, you need to talk to Pharos Production Inc. We brought them on to build out our Ethereum smart contracts, construct a Web3 API for bank integrations, set up a smooth KYC module and run transaction testing. What they delivered completely transformed...
Pharos Production is the heavy duty Web3 engineering team you call when failure is not an option
Over a multi-year engineering collaboration, Pharos Production Inc. has proven to be an indispensable technical partner across our high-throughput blockchain initiatives. We brought them in to handle complex smart contract architecture and multi-chain protocol design across execution environments that included Ethereum, Solana, Polygon and Cosmos. Evaluating an external engineering partner...
A serious blockchain heavyweights who know how to build proper supply chain tech
We brought Pharos Production in to sort out NEXUS LOGIX’s global shipment tracking and automated customs verification, linking our multi-carrier data across Ethereum, Polygon and Hyperledger Fabric. They spent 42 weeks through 2025 and 2026 crafting 32 custom smart contracts and dedicated node setups that now process around 95,000 live...
Pharos Production: a blockchain partner that treats infrastructure design as the core deliverable
Pharos Production architected and deployed our cross-chain attribution and verifiable referral network, connecting decentralized data pipelines across Ethereum, Polygon, and Near. Over a 40-week timeline spanning 2025 and 2026, their team designed and launched 28 production smart contracts, which currently process roughly 120,000 on-chain marketing events daily. In ad-tech and...
Deep-tech engineering partner capable of bridging real-time airspace telemetry with conversational AI
Pharos Production architect, engineer, and deploy the Meerir MVP a generative AI airspace decision support platform designed to make complex aviation and air traffic data accessible through natural language. Building an intelligence engine that pairs high-throughput ADS-B telemetry streams with large language models requires rigorous systems engineering. Pharos took complete...
Pharos Production the rare dev partner that actually understands Web3 architecture
We brought in Pharos Production to construct our cross-chain settlement engine across Ethereum, Polygon and Solana. If you’ve ever built cross-chain liquidity rails, you know how easy it is for state management and gas mechanics to get messy under real-time transaction volume. What stood out about Pharos was their technical pushback....
Exceptional Engineering Partner for Complex AI & Data Pipelines
We engaged Pharos Production to design, develop, and deploy the Meerir MVP—an AI-powered airspace decision support platform that allows users to query complex aviation and air traffic data using natural language and receive validated answers with supporting visualizations. Their team handled the complete technical lifecycle, including architecture, live ADS-B data...
Pharos Production Turned Our AI Models into Reliable Production Systems
Pharos the best partner we could ask for. We consultted Pharos Production in because we had reached a point where our AI models were performing well in evaluation, but getting those systems into reliable production environments had become the real bottleneck. We needed a team that could build the software layer...