ARCHFORGE — Build Your Future

Build your future

An AI infrastructure design studio. We architect and forge intelligent systems of any scale — from first sketch to production steel.

Start your project See the founding build

The conviction

“The future belongs to those who shape it — we design intelligence that redefines how businesses think.” — Anas M.K Hasiba, Founder of Archforge

Arch

Architecture. The load-bearing structure beneath every intelligent system — designed before a single line is built, drawn to hold weight for years.

Forge

The act of shaping raw material under pressure into something strong and permanent. Prototypes are heated, hammered, and tempered into production.

No limits

From zero to fully realized production infrastructure. Any scale, any starting point. If it can be drawn, it can be forged.

Capabilities

Systems drawn like buildings,
built like steel.

DWG A-01Intelligence architecture

Intelligence architecture

Causal graphs, memory systems, reasoning layers — the load-bearing structure of software that thinks. We design it before we build it, and we build exactly what we drew.

DWG A-02Agent systems

Agent systems

Multi-agent councils, tool-driven orchestration, autonomous workflows with human gates. Agents that debate, decide, and act — auditable at every step.

DWG A-03Data & retrieval

Data & retrieval foundations

RAG pipelines, embeddings, evaluation harnesses. Your systems answer from your own ground truth — graded, corrected, and measured for faithfulness.

DWG A-04Production hardening

Production hardening

Observability, guardrails, cost control, deployment. The pass from prototype heat to tempered steel — strength proven under load, not assumed.

From the flat files

One build, shown honestly.

This is the studio's founding build — real, running, and still in supervised pilot. Not a portfolio of ten polished logos; one system, shown at the stage it's actually at.

DWG C-01Founding build · ERP intelligence platform

H-Nerve — an intelligence layer over a multi-sector group.

Designed, forged, and operated end-to-end by the studio for a group spanning hotels, dairy, agriculture, and education — a causal-graph brain that reasons about the business, debates decisions in a multi-agent council, and answers from the company's own data.

What we drew

A ten-phase intelligence architecture: causal graph, what-if simulator, agent council, planner, episodic memory, and a self-reflection loop — specified on paper before a line of code.

What we forged

A production deployment behind a seven-tool orchestrated brain, retrieval grounded in tenant data with a grading harness, bilingual Arabic-first interface with full RTL.

What it holds

Every release gated by an automated test wall and type-checked end to end. The brain proposes; humans approve — every mutation auditable, every answer traceable to its source.

10Intelligence phases

7Orchestrated brain tools

770+Automated tests

AR/ENBilingual · full RTL

Now in supervised pilot

Ask for the full walkthrough →

How the forge works

Five heats,
one blade.

01

Survey walk the ground

Your systems, data, and constraints — mapped before anything is drawn. We measure the site before we design the structure.
02

Draft the blueprint

Architecture drawn as specifications: contracts, data models, failure modes. Agreed on paper before it exists in code.
03

Forge build under pressure

Short heats — working software every week, shaped against the blueprint. You see the metal move.
04

Temper prove the strength

Evaluations, guardrails, load and security testing. A blade is only a blade after tempering — strength is demonstrated, never assumed.
05

Deliver hand over the keys

Documentation, training, and ownership transferred. Built to outlast the builders.

What it costs

Priced in weeks,
not seats.

Your real alternative isn't a cheaper freelancer — it's an off-the-shelf AI seat license. That tool doesn't reason over your company's own data, no one is accountable for what it outputs, and it comes with no test wall. Custom infrastructure costs more up front because it replaces those gaps with an architect who signs off on every release.

P-01Pilot

Prove it small

$8k–15kFixed scope

3–4 weeks

One narrow workflow, start to finish
Survey → Draft → Forge on a single use case
Full handover, no lock-in to continue

Start a pilot →

P-02Build

The full system

$15k–45kFixed scope

6–10 weeks

Causal graph, retrieval, agent council, memory
All five heats — survey to tempering
Documentation, tests, and handover your team owns

Scope a build →

P-03Partner

Ongoing hardening

CustomMonthly retainer

3+ months

New capabilities shipped on a standing cadence
Eval and guardrail upkeep as your data shifts
Priority response, same architect throughout

Ask about partnership →

Buy vs. build

Off-the-shelf AI seat

Archforge build

Reasons over

Generic prompts

Your own causal graph & data

Accountable for output

No one

One architect, every release

Test coverage

None visible

Gated test wall before ship

Fits your workflow

You adapt to the tool

Built to your workflow

Typical cost

$20–200/seat/month, indefinitely

Fixed project cost, then you own it

Every engagement follows the same five heats above — survey, draft, forge, temper, deliver. Pricing scales with scope, not with hours logged.

The studio

A drawing office
with a furnace in it.

Archforge sits between two crafts that rarely meet: the architect's discipline of designing structures that hold, and the smith's discipline of working material until it is strong enough to trust.

Most AI projects die between the demo and production. Our entire practice exists in that gap — taking systems from sketch to steel with the same hands, so nothing is lost in translation.

Deliberately small in people, solo-founded by design — one human architect who draws the blueprint and reviews every line forged against it. That one architect directs a harness of 130+ narrow, task-specialized subagents — split across research, drafting, code generation, review, and test-hardening roles — running in parallel instead of one generalist model doing everything serially. No handoffs, no telephone game between people — one intent, reviewed and approved by a human at every gate. And because a system must outlive its builder, every engagement ships with the documentation, tests, and handover your own team needs to own it. Typical engagements run two to twelve weeks.

Anas M.K Hasiba

Founder · Chief Architect · CEO

AI specialist since 17 — designed and shipped tools from chatbots to full workflow automations. Copywriting-trained; former TRW student. B.Sc. Fintech, Al-Ahliyya Amman University. Nablus origin, based in Amman.

Addicted to chess — and to shattering egos, move by move.

+962 79 010 9350 anashasiba91@gmail.com LinkedIn ↗

Anas Eye · the vision

The future isn't predicted.
It's forged.

Here is what I see coming — and I don't think it's a guess. The distance between an idea and a working system is collapsing toward zero. The teams that own the next decade won't be the ones that use AI. They'll be the ones that build AI that builds more AI — and then have the discipline to get out of its way.

01 · the shift

AI that builds AI

The edge is no longer a cleverer model — everyone rents the same models. It's a system that improves itself: better output becomes better data becomes better output. A flywheel that never stops turning.

02 · the shape

Swarms, not soloists

One clever assistant is the past. The future is orchestrated swarms — dozens of narrow, expert agents that plan, build, review, and ship in parallel under a single conductor, around the clock, with humans holding the gates that matter.

03 · the moat

Velocity is the only moat

When models are commodities, the edge is speed — how fast a system can learn, adapt, and ship again. Not a patent you file once. A living stack that never stops improving.

04 · the horizon

v-∞ — never a final version

Software stops shipping once. It becomes a thing that is always mid-upgrade, tuned continuously to the person using it. The last version number is the one you never reach.

This isn't theory to me. Inside my own studio, a harness of 130+ narrow subagents — each scoped to one job: research, drafting, code generation, review, or test-hardening — runs in parallel under my direct review. I don't manage a team of people doing tasks. I review a system that builds, and I sign off on what it ships.

“We're not here to keep pace with the future. We're here to forge the metal it's made of.”

— Anas M.K Hasiba, Founder of Archforge

130+Agents, one harness

1Orchestrator conducting

24/7Parallel, always building

v-∞Never a final version

Commission

Let's build
your future.

Tell us what you're trying to build — a first prototype, a system that must scale, or infrastructure that has to survive production. We reply within one working day.

Emailanashasiba91@gmail.com Phone · Jordan office+962 79 010 9350 WhatsApp · direct line+972 59 749 1994

StudioAmman · Jordan