/ MANIFESTO · SYBERRA SYSTEMS GROUP
EST. 2017 · DXB · OPERATING 00:00:00 UTC

WE BUILD AI-NATIVE SYSTEMS FOR FOUNDERS
WHO SHIP.

// SECTION 001 — SERVICES 06 PRACTICES

The full surface area of shipping software. One engineering team.

001 WEB

Web design & development

Marketing sites, SaaS dashboards, and product surfaces. Designed in the browser, built on edge runtimes.

Next.js Astro Cloudflare
002 SOFTWARE

Custom software & apps

Internal tools, multi-tenant platforms, mobile clients. Typed from the database to the UI, version one to scale.

TypeScript Go Postgres
003 INFRA

Cloud & hosting

Production-grade infrastructure on AWS, GCP, or self-hosted. IaC by default, observable from day one.

Terraform Kubernetes Grafana
004 OPS

IT support & networks

Identity, devices, networking, and incident response — wired so your team doesn't notice the plumbing.

Okta Tailscale 24/7 SRE
005 GROWTH

SEO & digital marketing

Programmatic SEO, performance content, attribution stacks. We instrument first, then run the experiment.

Programmatic SEO PostHog CRO
006 AI

AI integration

Retrieval, agents, evals, and inference pipelines. Useful AI — measured against business outcomes, not demos.

RAG Evals vLLM
// SECTION 002 — PROCESS 04 PHASES

A four-phase loop, repeated until the system runs itself.

PHASE 01

Discover

We map the system, find the leverage, and write the spec. No discovery deck — a single document a developer can build from on Monday.

  • Architecture audit
  • User & data flow modeling
  • Risk & cost envelope
PHASE 02

Architect

Stack chosen for the next two years, not the next demo. Typed contracts between every layer, with the AI surface designed in — not bolted on.

  • Data model & APIs
  • Inference & retrieval design
  • Observability blueprint
PHASE 03

Build

Daily deploys behind feature flags. Every PR ships behind a preview URL and a test suite — the demo is always the production system.

  • Weekly release cadence
  • Continuous evals
  • Founder review loop
PHASE 04

Operate

We don't disappear at launch. SLOs, on-call, and a roadmap of measured experiments — until the team is ready to take the wheel.

  • On-call rotation
  • Quarterly experiments
  • Handoff or stay — your call
~/ syberra · ops // LIVE
// 01 · discover $ syb scan --depth=full scanning system boundaries… 14 services mapped 6 data sources 3 critical paths ! 2 risk vectors flagged   spec.md drafted — 847 lines leverage points → auth, billing, search
// 02 · architect stack = {   edge: "cloudflare workers",   api: "go + grpc",   db: "postgres + pgvector",   cache: "upstash redis",   ai: "modal / vllm",   trace: "otel → grafana", }   contracts: end-to-end typed cost envelope: $1.4k/mo at MVP
Sprint 01100%
Sprint 02100%
Sprint 0384%
Sprint 0442%
Sprint 05queued
deploys today: 14  evals: ✓ passing preview URLs: 8 open
// 04 · operate slo("api.p99") = < 240ms slo("uptime.30d") = 99.97% slo("eval.pass") = 0.94   // experiments this quarter retrieval rerank (+12% relevance) async billing (-38% p95) agent handoff prompts cost-aware model router
// SECTION 003 — CAPABILITIES STACK + NUMBERS

Sharp tools, picked on purpose. No mystery stack.

001 Frontend Next · Astro · Svelte
002 Backend Go · TypeScript · Python
003 Data Postgres · pgvector · ClickHouse
004 Infra AWS · Cloudflare · Fly · Modal
005 AI OpenAI · Anthropic · vLLM · LangSmith
006 Observability OTel · Grafana · PostHog · Sentry
007 Identity WorkOS · Clerk · Okta
/ TIME-TO-PRODMEDIAN
21d

From kickoff to first user in production, across the last 12 engagements.

/ DEPLOY FREQWEEKLY AVG
38×

Tested, flagged, observed. Daily deploys are the floor, not the goal.

/ UPTIMETRAILING 12MO
99.97%

Across every production system we currently operate.

/ EST.YEARS RUNNING
09yr

Founded 2017. Headquartered in Dubai. Engineering distributed.

OPEN FOR Q3 ENGAGEMENTS / 04 SLOTS REMAINING

Ship the system you keep describing in slides.

Send us the rough shape. We'll come back inside 48 hours with a one-page plan, a number, and a date — not a deck.