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RROEI/TECH
SOFTWARE / AI / DIGITAL PRODUCTS

We architectand build thesystems behind modern business.

Roei Tech designs and engineers SaaS platforms, AI systems and business applications for teams that treat software as infrastructure, not decoration.

SYSTEM · OVERVIEW
LIVE
Active workflows
0
AI agents
0
Processes automated
0%
Documents processed
0
THROUGHPUT · 24H
0 req/min
+18.4%
SYSTEM ACTIVITY
LIVE
  • Invoice Agent
    12ms
  • Support Agent
    …
  • HR Agent
    48ms
  • Data Pipeline
    …
  • Sync Service
    07ms
View log
Uptime · 30d99.98%
p95 latency142ms
Error rate0.02%
FIG. 01 — SYSTEM OVERVIEW · AGENTS + WORKFLOWS
BUILT WITH
AWSNEXT.JSNODE.JSPOSTGRESQLOPENAIANTHROPICSTRIPESUPABASEVERCELTYPESCRIPTAWSNEXT.JSNODE.JSPOSTGRESQLOPENAIANTHROPICSTRIPESUPABASEVERCELTYPESCRIPT
SERVICES

Everything
necessary to
ship software.

One team across product, design, engineering and infrastructure — so nothing falls in the seams between disciplines.

01 / DISCOVERY · SCOPE

Product Strategy

We shape the roadmap around the business problem and the systems constraints — not around features.

02 / DESIGN SYSTEMS

UX / UI Design

Interface systems designed for information density, keyboard fluency and long-term maintainability.

03 / REACT · NEXT.JS

Web Applications

Type-safe web platforms built on React, Next.js and modern edge infrastructure.

04 / MULTI-TENANT

SaaS Platforms

Multi-tenant products with billing, auth, workflows and observability wired end-to-end.

05 / AGENTS · RAG

AI Systems

Agentic workflows, RAG pipelines and evaluation harnesses that survive production use.

06 / APIs · WEBHOOKS

API & Integrations

Reliable connectors between the tools your operation already runs on.

HOW WE THINK

Software should
remove complexity,
not add to it.

Four principles govern every engagement — from the discovery sprint to the last week of hand-off.

01

Architecture first

We design systems around long-term maintainability, not the fastest demo.

02

Product thinking

We solve the business problem, not just the technical requirement.

03

Automation

We identify repetitive work and convert it into durable systems.

04

Measurable

Software should produce measurable business outcomes, or it should not ship.

WORKFLOWS

Every workflow
is a small,
verifiable system.

We treat automation as engineering — typed inputs, deterministic boundaries, retries, observability, and evaluations. Not just an LLM behind a button.

PIPELINE / invoice-agent.v3
LIVE
01
TRIGGER
Event ingest
02
CLASSIFY
LLM router
03
AGENT
Tool-using loop
04
VALIDATE
Schema + policy
05
DATABASE
Postgres · pgvector
06
NOTIFY
Slack · Email · Webhook
p5082ms
p95142ms
success99.4%
events/day24,891
SELECTED WORK

Projects that
shipped, scaled
and stayed in production.

View all case studies
PROJECT / 01
IN PRODUCTION
HREZ·SaaS · HR Tech

A modern HRIS built for growing teams — from records to payroll in one system.

Next.jsTypeScriptPostgreSQLPrismaTailwindAWS
Read case study
PROBLEM

Fast-growing SMBs were running HR out of spreadsheets, shared drives and legacy payroll tools. Employee records, leave, attendance and payroll lived in four different places, with no single source of truth for people data.

SOLUTION

HREZ unifies employee records, org structure, attendance, leave, performance and payroll under a single multi-tenant SaaS platform. Every entity is typed and event-sourced, so audits, exports and integrations reuse the same contracts.

manual HR hours
-72%
tools replaced
3
uptime
99.98%
PROJECT / 02
IN PRODUCTION
RAG Agent·AI Infrastructure

A production-grade retrieval agent teams drop into their existing chatbot.

TypeScriptNode.jsPostgreSQLpgvectorAnthropicOpenAI
Read case study
PROBLEM

Teams shipping chatbots kept rebuilding the same retrieval stack — chunking, embeddings, re-ranking, grounding, evals — and kept getting the same production issues: hallucinated answers, stale sources, and no observability into why an answer went wrong.

SOLUTION

A hosted RAG agent with a typed API and a drop-in JavaScript client. Ingest documents from URLs, files or connectors; ask questions from any chatbot with a single call; get grounded answers with cited sources, streamed to the UI.

p95 answer latency
< 900ms
grounded answer rate
94%
time to integrate
1 day
PROJECT / 03
SHIPPING
Arkeen·Consumer · Mobile

A calm, private baby life journal — for the moments parents actually want to keep.

React NativeTypeScriptExpoSupabasePostgresS3
Read case study
PROBLEM

Most baby tracking apps are cluttered, ad-supported and treat every tap like a data point. Parents wanted something quiet — a private place to log the day and keep the memories that will matter years from now.

SOLUTION

Arkeen is a mobile-first journal that combines fast logging (feeds, sleep, diapers) with a soft memory layer (photos, first words, milestones), packaged in a calm, editorial interface.

week-4 retention (beta)
94%
cold-start to first log
< 2s
third-party trackers
0
PROCESS

A delivery model
built like software,
not like consulting.

Six stages, one team, one shared repository. Each stage produces a deliverable that survives the engagement — not a slide deck.

  1. 01

    Discover

    Understand the operating model and the constraints.

  2. 02

    Architect

    Design the system, data model and integrations.

  3. 03

    Design

    Build the product experience end-to-end.

  4. 04

    Build

    Implement the platform in typed, tested, deployable slices.

  5. 05

    Launch

    Deploy, instrument and observe in production.

  6. 06

    Optimize

    Measure outcomes and iterate against real usage.

INTEGRATIONS

An integration
for every seam.

We connect to the tools your team already uses — no rip-and-replace. Data flows through typed contracts with retries and observability.

AW
AWS
VE
Vercel
CL
Cloudflare
SU
Supabase
PO
PostgreSQL
RE
Redis
S3
S3
TE
Temporal
OP
OpenAI
AN
Anthropic
PI
Pinecone
WE
Weaviate
ST
Stripe
SL
Slack
HU
HubSpot
SA
Salesforce
GO
Google
MI
Microsoft
NO
Notion
LI
Linear
SIGNAL

Numbers, not narrative.

0+
PRODUCTS SHIPPED
0
INDUSTRIES SERVED
0.00%
UPTIME TARGET
0.0M+
PROCESSES AUTOMATED
WHAT TEAMS SAY

A few notes from
the people who ran it.

“Roei rebuilt the operational core of our platform in one quarter. We are still running on their architecture two years later.
Marta Bell
Head of Ops · Northstar Capital
“They approached it like engineers who happen to be good at product — not the reverse.
Daniel Ng
CTO · Halo Studio
“The clearest thinking about AI in production that we've worked with. Nothing shipped that we couldn't debug.
Priya Rao
VP Engineering · Atlas Logistics
START A CONVERSATION

Ready to build
something real?

Tell us what you're trying to build. We'll respond with a short technical read, not a sales deck.

RESPONSE
< 24h
DISCOVERY
1 week
FIRST DEPLOY
3–5 weeks