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GLIXlogic_
What We Build
We don't sell hours or hand you off to juniors. Every service is led by an engineer who owns the outcome end-to-end — from architecture call to production deploy.
We architect and ship production SaaS platforms that handle multi-tenancy, role-based access, subscription billing, and real user load from the first deployment. No scaffolding that collapses under growth — solid, tested systems built on proven data models.
From the auth layer to the billing rail to the background job queue — we own the full stack and hand you something you can sell, scale, and iterate on without rewriting the foundation.
Book an Architecture CallProper tenant isolation from day one — row-level security, scoped queries, and schema design that never lets data cross between accounts.
Recurring charges, failed-payment recovery, plan upgrades, usage billing, and webhook-guarded payment events — the full billing rail.
JWT-based auth, role hierarchies, feature flags, and invitation flows — built to handle enterprise SSO when you need it.
Celery, Horizon, or custom workers for background processing — with retry logic, dead-letter handling, and monitoring from day one.
Clean API design, versioned endpoints, WebSocket or Supabase channels for real-time features, and documentation your team can ship against.
Structured prompt design, chain-of-thought scaffolding, few-shot examples, and systematic testing — turning flaky model behaviour into consistent, trustworthy output.
Test suites across edge cases, regression testing across prompt versions, and confidence scoring so you know exactly when and how the model breaks.
Safety layers between the model and your users — content classification, hallucination detection, PII scrubbing, and policy enforcement.
Intelligent routing between Claude, GPT-4, Gemini, and open-source models based on task complexity, cost, and latency requirements.
Token-level streaming for chat interfaces, progress indicators for long tasks, and cancellation handling — the UX details that make AI feel responsive.
We don't slap a ChatGPT wrapper on your product and call it an AI feature. We design prompt architectures, implement evaluation frameworks, add guardrails, and stress-test edge cases until model output is consistent and trustworthy — then we ship it.
Claude, GPT-4, Gemini, open-source — we work with the right model for the task, not the one with the best marketing. And we measure what the model actually does in your system, not in a playground.
Book an Architecture CallWe build autonomous agents with custom toolsets and persistent memory, and RAG pipelines grounded in your proprietary data. The gap between a demo and production is error recovery, token budgeting, re-ranking, and guardrails that catch failures before your users do.
Built on LangGraph, pgvector, Qdrant, and custom orchestration layers — not glued-together n8n workflows that break under load.
Book an Architecture CallAction-oriented agents with custom toolsets — API calls, database writes, browsing, code execution — engineered with memory and error recovery.
Semantic chunking, embedding pipelines, vector indexing in pgvector or Qdrant, and re-ranking layers that make retrieval accurate — not just fast.
Coordinated fleets of specialised agents — router, retriever, actor, verifier — built on LangGraph for complex, multi-step business processes.
Ingest your docs, PDFs, databases, and APIs into a unified semantic layer your agents and users can query in natural language.
Full observability into every agent decision — what it retrieved, what it called, what it output, and where it failed — with human-in-the-loop checkpoints.
Fast, SEO-ready web apps and marketing sites — server-side rendering, static generation, and client-side hydration used precisely where each is the right tool.
One codebase, two stores, native-quality performance. White-label ready — we've shipped apps published under clients' own brand names via Codemagic CI/CD.
Scalable REST APIs, real-time features via WebSockets or Supabase channels, and backend architecture designed to be the source of truth for every surface.
We don't add AI as an afterthought. Smart search, recommendation engines, copilots, and automation are architected into the foundation from day one.
Automated pipelines that build, test, and publish every surface — so a feature ships to web, iOS, and Android in one deploy, not three.
React, Next.js, Laravel backends, Flutter for iOS & Android — we ship the full stack from one team reading from the same data model. White-label mobile apps published under your brand. SaaS dashboards that don't collapse at scale. AI embedded, not bolted on.
We've shipped apps with 50K+ active users, white-label products published under ten different brand names, and web platforms handling thousands of concurrent sessions — all from a single coordinated team.
Book an Architecture CallWe build automation that survives messy real-world conditions — retries, dead-letter queues, partial failures, and edge cases no rule-based tool handles gracefully. Celery, Horizon, n8n, and event-driven architectures for processes that run reliably in the background while you sleep.
We also add AI decision nodes where rules aren't enough — smart categorisation, intelligent routing, and exception handling that learns from patterns instead of breaking on them.
Book an Architecture CallCelery, Laravel Horizon, or BullMQ — job queues with retry logic, priority lanes, and dead-letter handling for processes that can't fail silently.
Connect CRM, ERP, payment systems, email, and messaging — data flows automatically between tools without manual handoffs or copy-paste errors.
Where rules aren't enough — AI classifiers, intent detectors, and routing engines that handle exceptions gracefully instead of crashing the pipeline.
Cron jobs, webhook triggers, and event-driven architectures — your automation runs on the right trigger, not just a timer.
Every pipeline is observed. Failures surface in dashboards, alerts fire before your customers notice, and audit logs show exactly what ran and when.
Containerised deployments with zero-downtime rolling updates, health checks, and autoscaling — infrastructure that doesn't page you at 3am.
Declarative, version-controlled infrastructure on AWS, GCP, or DigitalOcean — every environment reproducible from a single command.
Automated test, build, and deploy pipelines — PRs are tested before they merge, and releases ship without a human pressing buttons.
Full observability from day one — structured logs, distributed tracing, uptime monitoring, and alerts that fire before your users report a bug.
Internal tools shaped around how your team actually works — not generic admin panels, but dashboards your ops, support, and data teams will actually use.
Containerised deployments on Docker & Kubernetes, Terraform-managed infrastructure, GitHub Actions CI/CD, and monitoring from day one. We also build the admin dashboards and internal tools your team actually needs — built around your workflows, not a generic CMS.
Good DevOps is invisible. Bad DevOps is 3am Slack messages. We set up the infrastructure so your team ships confidently — automated tests catch bugs before merge, and rollbacks take seconds, not hours.
Book an Architecture CallHow We Work
We spend the first session understanding your business, your users, your goals — and the problems standing between where you are and where you need to be.
We propose a clear plan — what gets built, in what order, at what cost, by when. You review, challenge, and approve before anything starts.
We build in focused sprints with weekly check-ins. You see real progress, give real feedback, and stay involved without managing a development team.
We handle launch end-to-end, then stay close. Most clients work with us ongoing — because great products are never finished, just continuously improved.
Ready to start?
One call with a lead engineer — not a salesperson. Tell us your product goals and we'll map out the architecture, stack, and timeline together.
Skip the sales pitch. Speak directly with a lead engineer.
