AI construction management across cost, schedule and site
Client: Rowad Modern Engineering
Client engagement: live pilot · Demo available
Fragmented project data hid delay, cost and safety risk until it was too late.

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› connecting ERP · CRM · documents · IoT ... [ ok ]
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// Welcome to the InsAI world
Seven live platforms on one intelligence foundation — for construction, customer conversations, company knowledge, manufacturing, supply chain, financial risk and workflow automation.
Company-wide figures, as published by Epsilon AI Global.
Certified & licensed
ISO certificates accredited under IAF and EGAC, and an ITIDA licence in Egypt
ISO 27001:2022
Information security management
EG220126D
Accredited under IAF and EGAC
ISO 9001:2015
Quality management
EG220126A
Accredited under IAF and EGAC
ITIDA IT activities licence
Information technology activities, Egypt
No. 3170
Information Technology Industry Development Agency
ISO 21001:2018
Educational organization management
EG220126M
Accredited under IAF and EGAC
Organizations served across AI delivery and professional training
Choose a platform
All seven platforms are live and available to explore. Choose the one that matches your business need — each is specialized around a different enterprise problem, and all of them share one intelligence foundation and one permission model.
ConstructINS · For contractors, developers and project teams
ConstructINS · For contractors, developers and project teams
ConstructINS · For contractors, developers and project teams
Proof
Don't judge InsAI by what we say we can build. Judge it by what has already been built.
Delivered, measured, still running. 10 engagements, each with the document and page its figures come from. Where a client is not named, the reason is on the page.
Showing 4 of 10 cases
Client: Rowad Modern Engineering
Client engagement: live pilot · Demo available
Fragmented project data hid delay, cost and safety risk until it was too late.

Client: Mogassam
Client deployment: in production · Demo available
Inbound call volume tied up agents needed for the calls that truly required a person.

Client: Government sector (confidential)
Engagement delivered · Demo available
Retrieval across disconnected departments was slow.
IllustrativeClient: Zylo3D
Engagement delivered · Demo available
Unpredictable equipment failures drove up production and maintenance costs.

Named-client cards show a product screenshot; confidential engagements show an illustrative interface, not the real platform. Where a client provided a signed recognition letter, it appears once on that engagement's case study. “AI project” marks a wider delivery that is not one of the seven current platforms.
Signed client recognition
Signed recognition letters from clients across Epsilon's delivery. They reflect the team's track record — not every organization is a deployment of this product.

Rowad Modern Engineering
Construction
Signed letter

Mogassam
Contact centre
Signed letter

Zylo3D
Manufacturing
Signed letter

NUT Botanicals
Retail & recommendations
Signed letter

AIT
Real-time data
Signed letter
Figures as published by Epsilon AI Analytics.
Use-case library
Where each product is applied, who it is for, and how the workflow runs. Open one to see the challenge, the approach and what it needs from you.
Protect programme, margin and handover with one operating view of the project.
ConstructINS connects schedule, cost, procurement and field progress so emerging risk is priced and acted on before the monthly report.
Portfolio command center: weighted health 89 and 26 open decisions across projects.
Business challenge
Project truth is split between planning, commercial, procurement and site systems. By the time a variance reaches leadership, the practical recovery window may already be gone.
Solution approach
Build a shared project intelligence layer that detects divergence, tests recovery paths and routes only the decisions that need approval.
Workflow
Expected outcomes
Required inputs
Coordinate long-running programmes where one dependency can move every downstream date.
ConstructINS monitors packages, interfaces, permits, materials and field progress as one connected delivery system.
A schedule slipping +9 days with ten critical-path activities out of float — the re-baseline reclaims 9 days and EGP 2.1M.
Business challenge
Infrastructure programmes span contracts, geographies and public interfaces. Delay often begins in an upstream permit, material or handover that no single dashboard owns.
Solution approach
Model dependencies across packages, watch leading indicators and simulate the effect of each intervention across the programme before committing it.
Workflow
Expected outcomes
Required inputs
See portfolio risk across projects before it becomes a board-level surprise.
ConstructINS standardises project signals across a portfolio while preserving the detail needed to act at package and site level.
The cross-project decision queue — 26 open decisions ranked by cash at stake (EGP 87.9M), showing what to action first.
Business challenge
Each project reports in a different format and cadence. Portfolio teams spend the reporting cycle reconciling numbers instead of deciding where intervention will protect value.
Solution approach
Normalize schedule, cost and delivery indicators across projects, then rank attention by exposure, confidence and remaining recovery window.
Workflow
Expected outcomes
Required inputs
Turn project-system data into a decision brief, not another status pack.
ConstructINS explains what changed, why it matters, the forecast exposure and which decisions can still alter the outcome.
Scheduled board packs and client reports — executive portfolio pack, cost summary, site progress — by audience and cadence.
Business challenge
Leadership receives polished reports built from lagging data. The material decision is buried between activity updates, and different functions defend different versions of the truth.
Solution approach
Generate an exception-led brief from the connected project record, with every forecast linked to its drivers and every requested decision stated explicitly.
Workflow
Expected outcomes
Required inputs
Why InsAI
AI models are increasingly accessible. Enterprise AI capability is not. Building a prototype is one thing; building intelligence that operates inside a real organization — across its data, systems, permissions, languages, workflows and infrastructure — is another.
InsAI is built on a decade of Epsilon AI Global's applied-AI experience — since 2015 — across data and enterprise technology. Every implementation contributes to an engineering foundation that is reused, hardened and extended across the ecosystem.
We don't approach every enterprise problem from zero.
One foundation
ConstructINS, VoiceINS, RagINS, ManufactINS, ChainINS, RiskINS and AgentINS are specialized around different enterprise problems — but they share one evolving foundation.
Seven specialized platforms
InsAI intelligence foundation
Point at a capability or a platform to see what connects them
Built from one evolving foundation
Experience compounds across InsAI.
Security & deployment
Enterprise AI is not a demo decision — it is a committee decision. Security and legal shortlist the vendor long before the business unit judges the accuracy. Here are the answers up front.
CISO / Security
“Where does our data go, and who can reach it?”
Deploy fully on-premises and nothing leaves your network. Role-based access is enforced server-side on every request, with audit logging of what was asked and answered. Verified credentials include ISO 9001 quality management and ITIDA licensing.
Legal / DPO
“Can we meet residency and give a straight answer to the regulator?”
Residency is a deployment choice, not an exception — Egypt, the Gulf or your own datacentre. Every answer is traceable to the source document it came from, so a decision can be reconstructed and defended after the fact.
CFO / Commercial
“What do we actually get, and when do we know it worked?”
Engagements run discovery → design → pilot → validation → scale. The pilot is scoped and measured before the commitment, so the business case is evidence rather than a projection.
CIO / IT
“What happens if we want out, and who runs it after go-live?”
It sits on the systems you already own — ERP, scheduling, BIM, document stores — rather than replacing them, and your documents stay yours. Your own people are certified to operate it through the academy, so the capability does not leave with a consultant.
Business owner
“Will people actually use it, in the language they work in?”
English and Arabic ship with full right-to-left, dialects included, and speech extends to whatever else your teams speak. No mode to switch and nothing to declare before someone starts talking.
Every output is traceable. Answers cite the source and page they came from, predictions and scores show their drivers and a confidence level, and every product says plainly when something is uncertain or outside its evidence rather than inventing an answer — so results can be checked, not just trusted.
Yes — most customers do. Every InsAI product is built on the same intelligence engine and one shared permission model, so you can start with the product that solves your most pressing problem and add others as you grow. Each new product joins your existing deployment as configuration rather than a fresh integration, sharing the same data and access controls.
Full security documentation and a DPA template are available on request during discovery.
How we work together
Access is arranged by the Epsilon team, not self-serve, and each step is scoped and measured before the next. Submitting the form below does not create an account.
Get started
Tell us the problem you are trying to solve. We will come back with a scoped walkthrough on your own documents, calls or projects — not a generic demo.
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