Start with the workflow
We map the people, rules, records, systems, risks, and decisions before deciding what the product should look like.
About Socilogica
A Canadian applied research and enterprise systems company.
Socilogica develops practical computational intelligence for complex organizations. We combine enterprise architecture, software engineering, applied research, data systems, organizational design, AI, and advanced reasoning models to build production systems that help organizations operate with more continuity and control.
Company focus
Applied research that becomes real operating software.
Socilogica's work usually starts where generic tools stop: field reporting, fisheries workflows, sensitive research data, member operations, payment reconciliation, support diagnostics, source-backed marine context, software delivery continuity, and business processes that carry real accountability.
Our research program studies computational organizational cognition and executable enterprise systems. Our commercial work turns that research into platforms people can actually use.
Positioning
Research-driven. Product-minded. Evidence-tested.
We move quickly, but the work is not guesswork. The goal is to understand the organization deeply, model the operating system, build a useful platform path, validate it with real users, and keep improving it with evidence.
Founder & Principal Architect
Hod Pharis
Technology founder, product architect, systems engineer, and applied AI builder with 30+ years designing and delivering operational software platforms.
Product invention: SaaS, ERP, mobile, payment, analytics, workflow, and governed data platforms.
Systems architecture: Cloud infrastructure, distributed applications, integrations, support operations, and secure service delivery.
Current focus: Computational organizational cognition, executable enterprise systems, electronic reporting, field-data capture, dashboards, and human-reviewed automation.
Chief Software Engineer
Jason Schmidt
Full-stack engineering leader with 25+ years building applications, integrations, data-driven systems, and production software teams.
Engineering depth: Front-end, back-end, database, API, reporting, CRM, and integration architecture.
Delivery leadership: Leads Socilogica's development teams from technical design through build, deployment, tuning, and support.
Platform focus: Reliable application foundations for field tools, operational systems, dashboards, and AI-assisted product workflows.
Leadership
Founder-led strategy with senior engineering execution.
Socilogica is led by builders who understand both business pressure and engineering reality. Hod shapes the product strategy, research direction, architecture, AI direction, and operating model. Jason leads the software engineering discipline that turns those ideas into reliable, maintainable systems.
Together, the focus is practical platform delivery: governed data, intelligent systems architecture, full-stack product engineering, computational workflow design, and accountable human review.
Where we are strongest
We are especially useful when the product has to connect people, policy, data, software, governance, and decisions instead of solving one isolated software problem.
Field reality
Systems for vessels, field teams, inspectors, researchers, support staff, administrators, and people working outside perfect office conditions.
Data responsibility
Governance, access control, audit trails, retention, source labels, validation, and privacy-aware design from the beginning.
Operational visibility
Dashboards, service desks, exception monitoring, member tools, payment reconciliation, and management reporting.
Computation with judgment
Briefings, automation, reasoning support, and knowledge systems that support human decisions instead of hiding assumptions.
Operating principles
How we make advanced systems dependable.
Build executable proof quickly
A working product slice gives teams something practical to test, improve, and launch with confidence.
Keep source truth visible
Live, planned, missing, fallback, context-only, and user-entered data should not be treated as the same thing.
Design support into the system
Good platforms include diagnostics, audit trails, admin tools, exports, and operational views so teams can resolve issues faster.
Protect sensitive data
Data ownership, role-based access, privacy, retention, and secure handling are product requirements, not late-stage add-ons.
Learn procedurally
We use adoption, support needs, data quality, user feedback, and operating results to guide the next build phase and improve the operating model.
Industries
Fisheries, marine operations, research networks, member organizations, municipal programs, dealerships, field services, and data-heavy operations.
Platforms
Mobile apps, web portals, dashboards, governed data hubs, operational service desks, CRM systems, and intelligent workflow layers.
Delivery
Research-informed discovery, product strategy, design, engineering, deployment, support, analytics, and ongoing modernization.
What clients get
A technology partner for the enterprise operating system, not just the screen.
The interface matters, but the deeper value is the system underneath: clean records, governed access, trusted reporting, persistent memory, support visibility, analytics, and a path to intelligent operations.
View the workHave an organization that needs a stronger operating system?
Bring the operational problem. We will help shape the research-informed platform path.