AI AUTOMATION · SAAS · INTELLIGENT SYSTEMS

Turn messy work into a system people can trust.

Agentox builds AI automation, SaaS products and intelligent web systems that help ambitious teams move from scattered work to a clearer, more owned operating system.

01 Commercial technology studio02 Research-informed execution
Free discovery callNDA availableWritten scope first
THE AGENTOX PROMISEStart with the bottleneck.
Scale when the evidence is clear.
01 Map the work02 Build the path03 Improve with proof
LIVE SYSTEM MAPAGX / 001
BUSINESS PROBLEM→SYSTEM OUTCOME
AGENTOX
SYSTEM
Hover a node to see the role it plays in the system AI / 06
01What agentox builds

Systems that make the work clearer.

From a focused MVP to the workflow behind it, we build technology around the real problem and the team that will own it.

01AWhy teams choose a focused studio

Less theatre.
More useful progress.

We do not lead with a tool list or a feature wall. We start with the workflow, the user, the constraint and the ownership model — then build the smallest system that can prove its value.

See clear starting-point pricing
01Context before codeUnderstand the real operating problem.
02Visible handoffsMake the system explain itself.
03Built for ownershipLeave the team with a path forward.
02Why agentox

Engineering with
context.

Good technology is not a pile of features. It is a clearer way for the business, institution or public to move.

01

Build for the real problem

Technology should solve an actual operational or public-interest problem.

02

Make complexity legible

Good systems show people what is happening and why.

03

Design for ownership

The team using the system should be able to understand and extend it.

04

Ship with evidence

A prototype is labelled a prototype. A live system earns its label.

03Signature work

The work speaks
for itself.

A selection of systems, platforms and research-driven technology projects. Status labels distinguish live, built, prototype and research work.

FACTCHECKBD / SYSTEM VIEW● PROJECT VIEW
FaLIVE
Live / Applied AIAI · Information Integrity

FactCheckBD

An AI-assisted fact-checking platform designed to help people verify claims against structured verification data in Bangla and English.

AI · structured verification · Bangla/EnglishExplore
ATLAS GIS / SYSTEM VIEW● PROJECT VIEW
AtPROTOTYPE
Built / PrototypeGeospatial · Humanitarian

Atlas GIS

A programme intelligence and geospatial platform for humanitarian analysis, climate vulnerability assessment, development finance and spatial intelligence.

React · TypeScript · Vite · Leaflet · Express · GeminiExplore
IMPACT OS / SYSTEM VIEW● PROJECT VIEW
ImRESEARCH
Research / PrototypeHumanitarian · Infrastructure

Impact OS

A unified digital infrastructure concept connecting programme management, beneficiary data, field evidence, M&E, funding, compliance and impact intelligence.

Programme → Evidence → M&E → GovernanceExplore
Demonstration data is used where applicable.
POLICYPULSE / SYSTEM VIEW● PROJECT VIEW
PoRESEARCH
Research / PrototypePolicy Intelligence · Simulation

PolicyPulse

A research and engineering platform exploring policy simulation, multidimensional impact assessment, fiscal stress testing, SDG mapping and legislative intelligence.

Methodology-led research platformExplore
Scores and simulations are not official UN, OECD, World Bank or government data.
ATLAS CLIMATE / SYSTEM VIEW● PROJECT VIEW
AtLIVE
LiveClimate AI · Resilience

Atlas Climate

AI-powered climate risk and resilience intelligence for communities and policymakers.

AI · climate intelligenceExplore
ATLAS AGRO / SYSTEM VIEW● PROJECT VIEW
AtLIVE
LiveAgricultural Intelligence · AI

Atlas Agro

AI-powered agricultural intelligence supporting farmers and food-security planning.

AI · agricultural intelligenceExplore
ATLAS OS / SYSTEM VIEW● PROJECT VIEW
AtRESEARCH
Research / EngineeringSystems Engineering · Open Technology

Atlas OS

A Linux-based operating system concept for Android hardware focused on accessibility, affordability and privacy-respecting computing.

Linux · systems engineeringExplore
ATLAS AII GLOBAL AI POLICY HUB / SYSTEM VIEW● PROJECT VIEW
AtBUILT
Built / Research PlatformPolicy Intelligence · AI Governance

Atlas AII Global AI Policy Hub

Centralized AI governance data, policy frameworks and legislative intelligence for policymakers, researchers, think tanks and international organizations.

AI governance · policy frameworks · researchExplore
AI GOVERNANCE OBSERVATORY / SYSTEM VIEW● PROJECT VIEW
AIRESEARCH
Research PlatformAI Governance · Research

AI Governance Observatory

A research-oriented observatory tracking developments in AI governance, policy and regulatory systems.

Governance research infrastructureExplore
VERIFIED / SYSTEM VIEW● PROJECT VIEW
VELIVE
Live / EnrollingEducation · Information Integrity

VERIFIED

A professional certification programme in fact-checking and digital verification, combining evidence evaluation, OSINT and AI/synthetic-media analysis.

Verification curriculum · professional learningExplore
No accreditation claim is made.
04Research → infrastructure

Where research becomes infrastructure.

Atlas AI Institute connects AI governance research, policy architecture and real digital systems. Agentox carries that context into practical engineering.

Visit Atlas AI Institute
01Research
02Policy
03Architecture
04Technology
05Public Impact
READY-MADEAutomation setups

Need one workflow set up fast?

Choose a bounded automation or CRM setup and get a working handover in about 3 hours.

Browse setup services
05Technical range

From prototypes to production.

We choose technology around the problem, the team and the stage of the product — not around a logo wall.

Technologies shown are associated with relevant work, not a universal expertise claim.
01FrontendReact · Next.js · TypeScript
02BackendNode.js · Python · Express
03DataPostgreSQL · Supabase · Firebase
04AIGemini · OpenAI APIs · Anthropic APIs
05Automationn8n · Make · REST APIs · Webhooks
06GISLeaflet · geospatial data
07InfrastructureVercel · managed infrastructure
06The delivery system

How we work.

A focused path from the real problem to a system your team can own.

01

Understand

Clarify the problem, users, constraints and desired outcome.

Illustrative estimate · 1 week · Review brief
02

Architect

Map the data, integrations, boundaries and technical path.

Illustrative estimate · 2–3 days · System map
03

Design

Turn the system into a clear, useful experience.

Illustrative estimate · 1–2 weeks · Prototype
04

Build

Develop the product, workflow or intelligent tool.

Illustrative estimate · 2–4 weeks · Working system
05

Integrate

Connect APIs, automation, data and existing operations.

Illustrative estimate · 1 week · Connected stack
06

Improve

Observe what works, learn and make the next version better.

Ongoing · Improvement plan
PHOTO PLACEHOLDERReplace with an approved portrait
07Founder credibility

Built by someone who works across policy and code.

Nafiul Ahmad Rafi is an AI governance researcher, policy architect and developer. Founder & Director of Atlas AI Institute, his work spans AI governance, public policy, SaaS and web systems, civic technology and digital public infrastructure.

AI governance researcherPolicy architectDeveloper
Explore Nafiul's work
08International by default

Built for ambitious teams anywhere.

We work with teams that need a thoughtful technical partner, from first product decisions to the systems behind a growing operation.

Startups
SaaS companies
Technology companies
Agencies
Research organizations
Operations teams
Public-interest organizations
09Useful starting points

Questions worth answering early.

01What does Agentox build?

We build SaaS products, AI automation, connected websites and intelligent internal systems. The right starting point depends on the problem, team and stage of the work.

02How do we start a project?

Use the project form to describe what you are trying to build, automate or improve. We can then clarify the context and a practical next step.

03Can you work with an international team?

The site is written for international B2B teams. Delivery arrangements, working hours and any geographic constraints should be agreed for each project.

04Who owns the code and project output?

Ownership and handover are defined in the final project agreement. The scope should make clear which code, documentation and other deliverables are included.

05Can we discuss confidentiality before sharing details?

Avoid sending secrets or sensitive personal data through the website form. Confidentiality arrangements should be agreed before sharing restricted project information.

06What happens after the first release?

Follow-on support or product improvements can be scoped separately. The next step depends on the product, observed use and the agreement between the parties.

10Next system

Have a system that needs to be built?

Tell us what you are trying to build, automate or improve. Use the project form to describe the current workflow and the result you need.

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