Most organizations don't break because they lack technology. They break at one of three seams: people, product, or process. Daloy is the senior engineering firm you call to find the seam, simplify the system around it, and let your team get back to growing the business.
Daloy Tech Solutions was registered in January 2025 — but it didn't start from zero. The company is built on the 23-year engineering legacy of our founder Alexander Burias, whose work since 2003 has shipped production .NET and Azure systems for the likes of Ford, Intel, Cystic Fibrosis Foundation, Prophecy International and Cloudstaff. Daloy inherits that discipline — and a team trained inside it.
If you're carrying legacy .NET, leaking hours to manual workflows, or shopping for "an AI strategy" — spend thirty minutes on the phone with our principal architect. No sales engineer, no intake form routed to an intern.
Daloy Tech Solutions is a Philippine-registered engineering firm, incorporated January 2025 in Iligan City and serving clients across the UK, US, Australia and Southeast Asia. New name, deep roots: the company was founded by Alexander Burias, whose 23-year engineering legacy — production .NET and Azure systems shipped since 2003 — is the foundation Daloy was built on. The firm operates as a small senior team under his direct architectural review.
A throughline of the work that earned us the right to do this. Not a portfolio — a lineage. Every engagement below was production-grade, under deadline, with real users on the other side.
A senior architecture firm that happens to build AI — not an AI consultancy that picked up architecture on the weekend.
C#, ASP.NET, SQL Server. The kind of systems you don't hear about because they just run — for a decade — while the team that built them has moved on twice.
— Where we learned that boring is a feature.Founded as Code Slaves Inc. Node.js, MongoDB, distributed architectures. Learned the hard way what happens when a "microservice" is actually a distributed monolith in disguise.
Prophecy International, DataTools, Cloudstaff/BMT, Valhallah. Azure DevOps, MAUI, microservices done properly. The decade that built the playbook we now use.
— Cloud ops you can sleep through.Applying two decades of delivery discipline to LLM orchestration, RAG, and agentic systems. Shipped IAmAnito, LeadGovAI, TulAI, AgosScores, TagSingCo, and the AI-SDLC platform — all in production.
— Where it all compounds.People. Product. Process. Almost every operational headache we've been called in to fix — across 30+ engagements — traces back to one of these three. Automation alone doesn't fix any of them. Diagnosis does. Then design. Then code.
Senior people stuck on copy-paste. Onboarding that takes a quarter. Tribal knowledge living in three Slack DMs. We map the workflows, surface the friction, and design AI agents that absorb the repetitive layer — so your humans go back to judgment work.
Legacy .NET that nobody wants to touch. A roadmap blocked on a rewrite. AI features your competitors shipped last quarter. We modernize the stack with strangler-fig migrations and embed AI capability into the product surface — without a weekend go-live.
Approvals that take five tools. Reports rebuilt from scratch every Monday. Compliance work that scales linearly with headcount. We design agentic processes — orchestrated, observable, kill-switchable — that absorb the procedural overhead and give you back the calendar.
You focus on growing the business. We manage the backbone.
Every capability below comes from a real engagement, usually one where something was on fire. We won't pitch a service we haven't shipped twice.
We map your highest-friction workflows and return a short, readable architecture document with a deployable roadmap, a cost ceiling, and a kill-criterion for each phase. Not a slide deck. A plan.
Local LLMs, Azure OpenAI with customer-managed keys, or fully air-gapped deployment. Your proprietary data never leaves your cloud boundary. Ever. This is non-negotiable.
Document pipelines that read your contracts, SOPs, and tickets — and answer questions with citations your team can verify.
Multi-step agents that execute real back-office work: triage, drafting, scoring, routing. Built on the IAmAnito runtime we also maintain.
We migrate ASP.NET Framework and VB.NET into .NET Core microservices without a big-bang rewrite. Strangler-fig, continuous delivery, no weekend go-lives.
Internally we run software delivery as a coordinated agentic system — architecture planning, implementation, testing, deployment, DevOps — all orchestrated by specialized agents under direct senior review. It's not prompt-to-code soup; it's architecture-aware engineering at machine speed, with a human signing every merge. This is how a lean team ships what used to take fifteen engineers six months.
No mockups, no case-study theatre. Each of these is a live URL you can click, a system serving real customers right now, and a story we're happy to talk through on our call.
Intelligent front-door interaction platform deployed across enterprise premises. Voice, face, and document flows with on-device inference for privacy.
— Kiosks that don't need the cloud to work.
High-volume support automated via Retrieval-Augmented Generation over internal clinical documentation, with full audit trail and citation on every answer.
— Answers regulators and auditors can follow.
Real-time heat management, scoring analytics, anomaly detection across competing judges. Processing live tracking data at broadcast scale.
— A weekend prototype that went to World Tour.
A proprietary AI assistant automating outbound lead generation, capture logic, and top-of-funnel conversion — the runtime we now also offer to clients.
— The runtime powering our own discovery-call pipeline.
A structure refined across thirty-plus engagements. Fixed scope, fixed price per phase, and an explicit kill-criterion at the end of each. You're never locked into the next phase until the current one ships.
No fixed packages. No tiered menus. Every organization carries a different combination of bottlenecks, and pricing should reflect that. We scope each engagement around the milestones — or the specific automations — that move the needle for you, then quote a fixed price per milestone you can take to a board.
A short discovery — we identify which seam is bleeding (people, product, process) and what "shipped" actually looks like for you.
The work is broken into concrete deliverables — automations, modules, integrations. Each one is independently priced and independently shippable.
Fixed price per milestone. Pay as each one ships. Stop, pause or re-scope between any two. No retainer lock-in, no minimum term.
Source, IP, cloud tenant, model weights where applicable. Full transfer at every milestone — not just at the end.
Below are typical engagement shapes we see. Yours will be quoted to your actual milestones — these are reference points, not menus.
One critical workflow automated. One bottleneck eliminated. A foundation you can build on.
Several workflows orchestrated. Legacy modernization in flight. A senior architect inside the room, milestone by milestone.
Multi-quarter programs across departments. Security, compliance, and governance built in from milestone one. Embedded senior architecture.
No hourly billing. No surprise invoices. Fixed price per milestone, full IP transfer at each one — senior-led by the founding architect, every engagement.
Every Daloy engagement is led personally by the founder — not a salesperson, not a delivery manager. The engineer who will actually design your system and sign off every merge that ships to your cloud.
AI Systems Architect and Principal .NET & Azure Engineer leading Daloy's delivery practice. 23+ years designing, building and scaling cloud and SaaS platforms. Author of six AI platforms Daloy operates today: TulAI (education), LeadGovAI (public sector), TagSingCo (entertainment), AgosScores (sports), IAmAnito (agentic workflows) and the AI-SDLC delivery platform.
"The hard part of AI was never the prompt. It was always the architecture behind it. Twenty-three years of that discipline is what Daloy brings to every engagement."
Selected feedback from platform owners Daloy has built with. Industry and context on each — full names and reference calls available on request during a discovery.
"They shipped in six weeks what our previous vendor quoted six months for. The architecture document alone was worth the engagement."
"The only firm we've worked with that didn't need hand-holding on Azure security posture. Senior, end-to-end, no hand-offs."
"Daloy treats AI as a system — not a feature. We finally have an architecture we can grow into, not out of."
Pick any open slot on the founder's calendar. Bring one workflow you'd love to see automated, or a legacy system you want to bring into the AI era. We'll tell you honestly if Daloy is the right fit — and if we're not, we'll point you to someone who is.