Company / Fifteen years in the making
Deeplinq grew from enterprise search deployments inside banks, ministries, and industrial groups in the Middle East. What started as an enrichment and business layer around the now-retired Google Search Appliance became infrastructure for governed AI.
Our story
Deeplinq is the latest chapter of a fifteen-year track record in enterprise data. The technology kept changing. The institutional requirement did not: useful systems must respect the walls around them.
2011
The story begins in the Middle East. Brams deploys the now-retired Google Search Appliance inside ministries, banks, and industrial groups, then builds the enrichment and business layer the appliance alone could not provide.
Middle East and EMEA
Connect
Start with the systems already inside the institution.
2015
Search exposed the documents. Teams still needed the customer, case, asset, and decision around them. Bridge assembled contextual views across indexed systems without asking institutions to replace what already worked.
Government and enterprise
Context
Turn fragmented information into a usable business view.
2023
Generative AI changed the interface, not the institutional constraint. Deeplinq spun out from Brams to connect applications, private knowledge, models, and tools through one controllable layer.
Models enter the workflow
Control
Keep model, data, and action authority explicit at runtime.
Today
The platform now combines an OpenAI-compatible model gateway, authorized knowledge, bounded agents, live tool policy, exact metering, and a tamper-evident audit trail for regulated production work.
Unified · Auditable · Governed
Proof
Leave an attributable record of what happened and why.
Architectural posture
DORA, the EU AI Act, GDPR-class data protection, ISO 27001, SOC 2, and NIST CSF shape the questions the architecture must answer. They are not a blanket certification claim. Legal basis, residency, encryption, deployment, and organizational controls remain specific to each engagement.
Review the security postureEngine
Identity, grants, guardrails, model routes, metering, approvals, and audit evidence.
Deployment
Hosting, residency, encryption, retention, integrations, and operational ownership.
Institution
Policy, legal basis, accountable decisions, risk acceptance, and independent assurance.
Registered office
Sales office
Sales office
Sales office
Next step
We will map the existing applications, knowledge, model choices, action boundaries, and evidence needed to put the workflow into production.