Private GenAI
Grounded assistants and knowledge systems that stay inside your boundary.
The enterprise AI gap
Teams keep building models and demos — but three barriers stop them short of the people making real decisions.
Our answer
Not four vendors to stitch together — one team, one security model, one data backbone underneath every product.
Product portfolio
Four products you can deploy on their own — connected by one foundation for security, data and production operations.
01 · aiassist.chat
A branded generative-AI chatbot trained on your websites, PDFs and FAQs — deployed with one script, managed from one workspace.
02 · Lens enterprise AI
An offline, prompt-based workspace for teams that need governed AI without sending sensitive knowledge to public clouds.


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Buy one to solve one problem, or combine several on the shared foundation — pricing scales with sites and usage.
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Each path pairs a proven method with a production outcome your teams can act on.
binarysolutions.ir / Services
One team across every stage — engage the whole lifecycle, or drop in wherever your project needs help.
03 · Vision-powered HSE
Real-time computer vision helps HSE teams catch hazards earlier, document compliance and focus attention where it matters.
03 · Vision-powered HSE / In the field
Three models, one CCTV feed — no new hardware. Every frame is scored, flagged and logged in real time.
04 · GeoPubSub
A publish-subscribe backbone where every message carries a location — so systems react to what's happening where it happens.
Sensors, vehicles and systems emit geo-tagged events.
Subscriptions match events to zones and areas of interest.
The right signal reaches the right operator in real time.
Decisions and dispatch trigger the moment conditions change.
Industrial AI · Energy & Oil / Gas
Enterprise-ready by design
The same product runs wherever your data and latency needs require — with security, monitoring and access control built in from day one.
Fast scale for digital products and multi-site teams.
Best for reach & speedFull control and data residency inside your own data centre.
Best for sovereigntyInference at the site, next to sensors and cameras — footage never leaves.
Best for low latencyCombine all three — edge capture, on-prem control, cloud scale.
Most common in the fieldEngagement model
Low-risk by design: we prove one use case before committing to scale, and every phase ends on a result you can measure.
Align on use case, users, data access and a measurable outcome.
Deliverable: scoped brief & success metric1–2 weeksShip a working pilot against a real workflow and the agreed target.
Deliverable: live pilot & results4–8 weeksHarden, integrate and deploy on your infrastructure with monitoring.
Deliverable: production system6–12 weeksExpand to new sites, teams and use cases on proven evidence.
Deliverable: rollout & managed opsOngoing