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AI-accelerated platform studio · Data · Engineering · Growth · Design

We build the systems your business runs on.

An AI-accelerated platform studio led by three senior partners — data, engineering and growth, with design engineered in. New as a company. Not new at the craft.

A real, clickable operating console — no sign-up. or sign in →

3 senior partners30+ years combinedDemo every FridayYou own 100% of the codeReply < 1 business day60-day warranty
Try it · Live estimator

Estimate your build.

Configure what you need — the estimate updates live with an indicative team, effort, timeline and budget band, using market-average senior rates per role level.

try itTune the scope→ live team, timeline & budget band
What are we building?
Project size

A multi-module system with real users, real data and integrations.

Directions on the team
Integrations & APIs2
5
Specialists
680h
Effort
8 wks
Timeline
Indicative budget band
€47,500 — €61,000
≈ €78/hr blended · market-average senior rates by level
Team & role breakdown
3× Senior Engineer
131h ea€85/h
1× Product Manager
160h ea€75/h
1× Product Designer
128h ea€60/h
What you get
Architecture & system modelCore platform + internal toolsAuth, roles & auditCI/CD, docs & hand-over
Get a real proposal →

Indicative estimate · market-average senior rates by role level · not a quote · your scope will change it.

The Consolidation

Four directions. One system.

Engineering, product, growth and design usually mean four vendors and a handoff tax at every seam. Algora.tech runs them as one system — one backlog, one architecture owner, one decision log reviewed every Friday demo.

Eight inputs converge into one →

Business intent
Product roadmap
Engineering craft
Live telemetry
Growth signals
Delivery constraints
Design system
User reality
algora.techAlgora.tech logoone system
Why Algora.tech

Where projects usually break — and don't here.

Every multi-vendor build hits the same six frictions. Tap each one to see the named mechanism that removes it.

try itFlip a friction card→ the exact fix, one per pain
0/6 resolved
All six resolved is how we run · book a discovery →
Four directions · One system

Engineering, product, growth and design — engineered together.

Hover a direction to see it move. Select two or more — the combiner shows what they unlock as one system.

try itSelect two directions→ the combiner shows what they unlock together
Combine directions

Tap two or more cards — see what they unlock together.

The Operating Loop

Not four services. One loop.

Scroll to ride the loop — each turn shows the directions that lead and what it produces.

DiagnoseShapePrototypeBuildLaunchImproveOne loopsix stations
01 / 06Product

Diagnose

Map the goal, users, constraints and what's actually broken.

→ System brief
Diagnose
Improve

scroll ↓ to advance the loop

How an engagement runs

Anatomy of an engagement.

One process, week-numbered, no improvisation. A free fit check that can honestly end in “not us”, a fixed-price 2-week Discovery Sprint, a build loop with a demo every Friday and a written decision log, a handover pack that makes you independent, and a 60-day warranty after launch. Click any station to see who does what.

Demo every FridayReply < 1 business day60-day warrantyYou own 100% of code & IP
Same loop, same gates — the toggle changes durations and the artifact set
W3–10

Build

Weekly loop: Friday demo · sprint notes · decision log · canary / blue-green releases.
Our role
  • Ship a demoable increment every week — demo every Friday, on the calendar
  • Keep the decision log current: every trade-off written down, dated, owned
  • Release behind canary / blue-green so a bad deploy is a rollback, not an outage
  • Send sprint notes after each demo: done, next, blocked, decisions needed
Your role
  • Attend the Friday demo — 30 minutes, working software only
  • Return decisions we've queued by the next Friday, into the decision log
  • Review staging when a flow is flagged ready — async is fine
Artifacts — full system
  • ▸Working builds on staging, weekly
  • ▸Sprint notes + decision log
  • ▸CI pipeline (GitHub Actions)
  • ▸Design system: tokens + components
  • ▸Admin / ops console
  • ▸Eval harness for AI features
  • ▸OpenTelemetry dashboards

p85 change cycle inside the loop: ~5–7 days from decision to staging — indicative, tracked per project.

Proof · No logo wall

We're new. So no testimonials — proof you can click.

A live operating console, working studio tools and the actual artifacts we ship. Try everything below — no sign-up, nothing gated.

Open the live console →real clickable console · synthetic data
Studio tools · try before you talk

Not a pitch. A working session.

Seven working tools we'd actually use in a first call. Every output is copyable and yours to keep — no sign-up, no email gate.

try itAnswer the 7 questions→ an honest fit verdict — even if it's 'not us'
Do engineering, product, growth and design need to move as one?
Is there a decision owner available every week?
Can we reach real users, operators or domain experts?
Is the work more than isolated implementation tickets?
Are unknowns acceptable at the start?
Do you want a small senior team over a large staffed one?
Does this system need to live and evolve, not ship once?

Planning heuristic · not a quote, guarantee or acceptance

Artifacts · not a logo wall

The shape of the work — open it up.

Nine artifact types from nine different kinds of engagement — an RFC, an eval report, an incident RCA, a handover pack. No client names, no client data — the structure of the work itself.

try itOpen any artifact→ the full sample — copy it as markdown, it's yours
Inside the operating console

The engine on the left. Your cockpit on the right.

Every system we ship has two faces: the machinery we run and the workspace your team actually uses. Flip the tabs — this is the shape of what you buy.

try itFlip a cockpit tab→ engine view vs the workspace your team gets
ALGO ENGINE active
$ algo run --core data
› sources: 6 connected
› ingest 1.24M events … ok
› validate schema … ok
› enrich … streaming
› anomaly scan … 2 flagged
› lineage: events→clean→marts
SYSTEM READY
Client cockpit / Data ops online
Events / day
1.02M
Data quality
98.7%
Anomalies
2
Event volume / 7d
clickstream.web ok
crm.contacts ok
billing.export delayed
partner.feed enriching

Synthetic demo data — not a real client workspace.

Open the full live console →

Synthetic demo data — not a real client workspace

The Partners

Three partners. One accountable core.

Algora.tech was founded by three senior practitioners — data, engineering and growth — each with 10+ years of building the systems they now run here. Design is the fourth direction: not a fourth partner, but a discipline the partners engineer into every delivery, with its own gates in the definition of done.

New as a company. Not new at the craft.

Data & AI
10+ years in data systems

Event pipelines, retrieval systems, eval harnesses, model routing behind product features.

“If a prompt beats a fine-tune, we bill you less.”
“Every model claim gets an eval before it gets a demo.”
Engineering
10+ years in production systems

Distributed backends, event streaming, Kubernetes platforms, CI pipelines that ship daily.

“Boring infrastructure. Interesting product.”
“The rollback path ships before the feature does.”
Growth
10+ years in growth systems

Funnel instrumentation, lifecycle programs, experiment stacks wired into the product itself.

“No experiment without a stop condition.”
“Instrument first, opinion second.”

Design, engineered in. Every delivery carries design gates — tokens, accessibility, motion spec — owned by the partners as a discipline, not delegated to a fourth chair.

The people who scope your work are the people who build it. No account managers, no telephone game.

Engineering practice

What “done” means here.

Every feature passes the same eight gates before it ships. Not a promise — a checklist that blocks the merge button until each gate is green.

Definition of done · 8 gates
✓
Second-partner code review

Every PR is reviewed by a second senior partner before merge. No self-merges, no exceptions.

✓
CI green before merge

Typecheck, tests and lint run on every push. A red pipeline blocks the merge button.

✓
Canary or blue-green release

New code meets a slice of traffic first. Rollback is one command — and it's been tested.

✓
Observability from day one

OpenTelemetry traces, structured logs and alerts ship with the first deploy, not after the first incident.

✓
Docs + runbook with the feature

A feature isn't done until the runbook that operates it exists. Written by the person who built it.

✓
WCAG AA on client-facing UI

Keyboard paths, contrast and roles verified on every critical journey before it ships.

✓
Secrets scanned on every commit

Automated secret scanning in the pipeline. Keys live in a vault — never in the repo.

✓
Handover-ready repo

README, decision records and setup scripts kept current. A new engineer builds locally in under an hour.

A gate that can be skipped isn't a gate. Each one runs in CI or in review — the pipeline enforces it, not goodwill.

Illustrative board · the gates themselves are real

Named stack, and why

No secret sauce. Every tool is named, and every choice has a reason you can argue with.

TypeScriptOne typed language across the stack — the compiler catches what reviews miss.
Next.js / ReactServer rendering plus a component model your next hire already knows.
Node.js · PythonNode for product services, Python for data and AI pipelines — each where it's strongest.
PostgreSQLBoring, proven, portable. Your data never lives in a black box.
RedisCaching and queues without inventing infrastructure.
Kafka-class streamingFor systems that must react to events, not poll for them.
Kubernetes + TerraformInfrastructure as reviewed code — reproducible, not artisanal.
GitHub Actions CIThe pipeline lives next to the code it protects.
OpenTelemetryOne open tracing standard — observability with no vendor lock.
Cloud (AWS / GCP)Deployed to whichever regions your business needs — your data lives where you choose.

You own everything: repo, infra, docs. No vendor lock-in.

100% of code & IP transfers to you · 60-day warranty after launch

Where AI sits

AI drafts. Seniors decide.

AI accelerates the drafts — code, analysis, content — inside our delivery pipeline. Every merge still passes senior review. And every AI workflow we ship comes with an eval harness: a set of checks written before the code, so “it works” is a measurement, not an opinion.

Workflows we build · input → output
Plain-language analytics

A question in plain English → query → chart → a written explanation of what moved and why.

Triage & routing

Incoming tickets, leads or documents → classified, prioritized, routed to the right owner.

Enrichment pipelines

Raw records in → normalized, deduplicated, enriched records out — each with a confidence score.

Retrieval (RAG) layers

A question against your documents → an answer with citations back to the exact source.

Anthropic / OpenAI / Google models behind the features · routed, evaluated, swappable

The eval harness · checks written before the code
algora eval · synthetic run

Illustrative synthetic run — the real harness ships with your system.

Honest pledge

“If AI doesn't belong in your workflow, we'll tell you in week one — and design the system without it.”

Honest pledge

“If a prompt beats a fine-tune, we'll tell you — and bill you less.”

Operating patterns

The shapes of system we build.

Not a list of industries we claim to serve — five system architectures that keep recurring across B2B, whatever the domain wraps around them. If your problem rhymes with one, we already know the first slice to ship.

SaaS operations core
Pattern 01

SaaS operations core

One place where a subscription product is actually run — accounts, roles, usage and the daily operator work behind the app.

Typically includes
  • Tenant & role model with audit trail
  • Usage telemetry and event taxonomy
  • Internal admin console for support & ops
First shipped slice

One tenant, one role set, one instrumented core journey — live in weeks, demoed every Friday.

Field & dispatch operations
Pattern 02

Field & dispatch operations

Coordinating people and jobs in the physical world — assignment, status and proof of completion without phone-call chaos.

Typically includes
  • Job queue with assignment & routing rules
  • Mobile-first field status capture
  • Dispatcher console with live board
First shipped slice

A single crew running one job type end-to-end through the board, replacing the spreadsheet it came from.

Production telemetry & quality
Pattern 03

Production telemetry & quality

Making a production line legible — machine and process signals turned into quality gates and early-warning views.

Typically includes
  • Signal ingestion from line equipment & sensors
  • Quality-gate rules with alert thresholds
  • Shift dashboard with anomaly flags
First shipped slice

One line, one critical signal, one alert rule — proving the data path before scaling the plant.

Service-business workflow
Pattern 04

Service-business workflow

The engine behind an expert business — intake, scheduling and delivery status in one system instead of five inboxes.

Typically includes
  • Structured intake & qualification forms
  • Scheduling with capacity view
  • Client status portal with document exchange
First shipped slice

Intake-to-scheduled for one service line, with the client seeing their status without emailing anyone.

Multi-region data platform
Pattern 05

Multi-region data platform

One truthful data layer across regions and teams — governed pipelines feeding the dashboards decisions are made from.

Typically includes
  • Event pipeline with schema contracts
  • Region-aware storage where your users are
  • Decision dashboards with lineage
First shipped slice

One source system, one governed pipeline, one dashboard a named decision-maker checks weekly.

Illustrative patterns — synthetic compositions, not client references.
Engagement models

Three ways to work with us.

Start small, build the system, keep it evolving. Each model has a defined entry, a defined output and a defined way to stop.

One ruleScope, price and definition of done agreed before we start.
01 · 1–2 weeks · fixed price

Discovery Sprint

Get a number, not a sales call.

A short, senior pass over your problem: we interview the decision owner, map the system, and spike the riskiest unknown.

You leave with
  • Architecture RFC
  • Scoped backlog
  • Budget band
02 · 6–10 weeks typical · monthly invoice by role rates

Build Squad

A senior team ships the system.

Engineering, product, growth and design as one squad. Demo every Friday with a decision log — you always know what changed and why.

You leave with
  • Production system
  • Handover pack

Role rates are the public ones from the estimator: Senior Engineer €85/h · PM €75/h · Designer €60/h.

03 · monthly · for live systems

Evolution Retainer

For systems that live, not ship once.

A standing lane on our board: roadmap grooming, experiments with defined stop conditions, and new modules built on the same architecture.

Ongoing
  • Rolling roadmap
  • Experiment backlog
  • New modules

Ongoing support & SLA.

After launch, a system needs someone on call. The SLA toggle in the estimator above adds this: a signed support level with named response and restore times.

MonitoringSecurity patchesDependency updatesSmall fixes
LevelWindowResponseRestore
StandardBusiness hours (CET)4hNext business day
PriorityExtended hours1h8h
Critical24/7 by agreement30min4h

Times are commitments we sign in the MSA, not marketing.

All levels include monitoring · security patches · dependency updates · small fixes

THE VAULT · ONE KEY PER VISITOR

Three cells. One key. Zero business logic.

Somewhere between the CTA and the footer we installed a vault. Every cell holds a real perk — an architecture audit, extra discovery hours, or a priority kickoff. You hold exactly one key. Choose well. (There is no wrong choice. We checked.)

AUDArchitecture Audit — on us

60-minute senior engineer review, delivered on the discovery call.

HRS+2 Discovery Hours

Discovery workshop extended by two hours, free.

PRIPriority Kickoff

Front-of-queue slot in the next sprint window.

Redeemable on your first Algora.tech engagement · one perk of each type per company · not exchangeable for cash.

CELL 01status: LOCKED · contents: REAL
CELL 02status: LOCKED · contents: REAL
CELL 03status: LOCKED · contents: REAL

Every cell contains a real perk — no empty boxes, no “better luck next time”. Vault perks stack with the logo-spin discount, because spinning and choosing are different skills.

try itHover a region→ how we collaborate across its time zones
Built in Poland · CET±1
Distributed delivery

Built in Poland. Working worldwide.

One senior core, clients in any timezone — real-time overlap with your working day and follow-the-sun cadence where it helps. Hover a region to see how we collaborate across its time zones.

  • ✓Daily real-time overlap with every region we work in
  • ✓One backlog, one delivery map
  • ✓Weekly Friday demo — recorded for every timezone
  • ✓EN / PL / UA working languages
Fit · Read before you write

We’d rather lose a deal than mis-start one.

A young studio can’t afford a bad engagement — so here is, in plain terms, where we’re strong and where someone else will serve you better.

A good fit
  • ✓
    A system, not a page

    You need engineering, product, growth and design moving together — a product, a platform, an operating core.

  • ✓
    A decision owner exists

    Someone on your side can make a call every week — our Friday demo needs a person who decides, not a committee inbox.

  • ✓
    Senior over staffed

    You want a small senior team that argues about scope, not a large one that bills for it.

  • ✓
    Built to evolve

    The system will live after launch — measured, iterated, extended. Not shipped once and abandoned.

  • ✓
    Open to the mechanism

    You’ll take a weekly demo, a decision log and an eval harness over promises and slideware.

Not the right fit
  • ×
    The cheapest possible website

    A template shop will get you there faster and cheaper. Genuinely — that’s the right tool for that job.

  • ×
    Staff augmentation only

    We don’t rent out individual engineers into someone else’s process. We deliver systems with our own operating loop.

  • ×
    Vague AI exploration without an owner

    “Let’s do something with AI” with no problem and no owner burns budget. Come back with one workflow that hurts.

  • ×
    No access to a decision-maker

    If every call has to travel three layers up before an answer, the weekly loop breaks and the work stalls.

  • ×
    “Just make it pretty”

    Design here is engineered in as a direction, not applied at the end as paint. Pure decoration briefs aren’t our shape.

The questions careful buyers actually ask

Don’t trust — inspect. The proof on this site is clickable: a live operating console, working studio tools, and the actual artifacts we ship on every engagement. Run the fit check yourself. Behind it are three senior partners — data, engineering, growth — with 30+ years combined, and design engineered in as the fourth direction. And there’s an honest arithmetic to being early: our first clients get a disproportionate share of senior attention, because every one of them is existential for us.

Different question? ask it on a discovery call →
Start · Pick a discovery

Book a Technical Discovery

Architecture, integrations and a build plan for your platform.

Prefer email? hello@algoratech.ai

Discovery is fixed-scope. Every artifact — brief, blueprint, fit note — is yours to keep, whatever you decide.