Aliph AI
Forward-deployed engineers build enterprise AI around your data, approved environment and operating needs, with Arabic engineering, customer production authority and a structured handover.
Aliph AI brings engineers into the customer’s delivery environment to build a capability its own team can run. We connect institutional data, models and applications around a defined business task. Classification guides the deployment profile; named customer owners approve access, authorise production and decide how remaining risks are handled.
For institutions building enterprise assistants, AI-enabled operations and digital platforms on approved infrastructure.
Our engineers work alongside the customer’s business and technical teams, from use-case design through implementation and production acceptance. The engagement addresses the data, interfaces, infrastructure and operating decisions needed to run the system in the approved environment.
Engineer for Arabic documents, institutional terminology and mixed Arabic–English records from the outset. Evaluate retrieval, names, structured fields and responses using material that reflects the actual task, with reviewers who understand the language and business context.
Connect approved models with source systems, organisational memory and applications. Build assistants, analysis experiences or bounded agents around explicit inputs and outputs. Match any tool use to the authority and approval rules set by named customer owners.
Prepare the institution’s team to operate what has been built. Hands-on training, technical documentation, runbooks and structured handover cover everyday use, investigation, evaluation and change. Agree the receiving team and acceptance criteria during delivery.
The engagement leaves behind a working capability, with the institution in control of its data, production decisions and ongoing operation.
Deployment is an explicit design decision. The agreed profile sets the processing location, connectivity, model access and operating authority for each class of information.
Deploy approved open-weight models and selected data services within the institution’s approved infrastructure. Model serving, retrieval and any model improvement follow that boundary. Where an isolated or air-gapped arrangement is required, its network and operating restrictions are designed and validated explicitly.
Use customer-approved infrastructure in Saudi Arabia with hosting, administration, source access and retention responsibilities documented. The institution confirms the permitted data and model paths. Residency and operational requirements are assessed for the specific deployment.
Use an external service only for information and purposes the institution has approved. Define transformations, egress rules, exchange logging and review points before transmission. A workflow may use different model paths for different classifications.
An institution wants employees to ask questions across approved policies and selected ERP records. The engagement classifies the sources, agrees a model and deployment profile, and connects the permitted records to AliphChat. Arabic and English test cases cover source attribution, access boundaries and operational questions.
In this illustrative scope, business reviewers assess the answers and the named production owner accepts the release. The receiving team practises investigation, source updates and evaluation before the technical handover is completed.
Agree the scope, responsibilities and acceptance criteria together. The delivery plan brings business context, implementation and review into the same conversation.
Agree the business outcome, source owners, intended users and production decision-maker. Record classification, purpose and the operating constraints that determine the engineering scope.
Confirm the deployment profile, prepare sources and implement the model, application and integrations. Build Arabic and mixed-language requirements into the workflow and its test cases.
Review useful and difficult cases, source attribution, access boundaries and failure behaviour. Present findings to the customer owners who approve the release and resolve remaining decisions.
Run hands-on operating sessions, complete documentation and confirm the receiving team. Agree how future model, source and permission changes will be evaluated and approved.
Deliverables are confirmed in the agreed scope. They can include:
These inputs help turn an initial discussion into a focused scope.
Evaluate task quality, source attribution, Arabic and mixed-language performance, authority boundaries and the receiving team’s ability to operate the system. Production approval remains with the named customer owner.
AliphChat connects approved institutional records to conversation. Agentic Studio supports governed drafting and reporting workflows. Product configuration, connectors and deployment are confirmed for the engagement.
Bring ERP, CRM, policies and organisational memory into one conversation. AliphChat helps your teams understand what is happening, check the information behind the answer and decide what to do next across the business.
Start with the records your governance team already maintains. Agentic Studio prepares assessment, board report and regulatory submission drafts, giving reviewers the evidence, open questions and approval path they need to make the report their own.
Aliph Data supplies the governed sources and organisational memory; Aliph Cyber defines the authority and egress controls around the AI workflow. Platform engineering also supports partner products such as Utopian. The Utopian page explains Aliph’s technology delivery role and the platform’s venture ecosystem experience.
No. Classification and customer requirements determine the deployment profile. Some systems need isolated customer-controlled infrastructure; other approved workflows can use governed external services. The design records connectivity, processing locations and permitted data for each path.
Yes. Model selection considers the task, Arabic and mixed-language quality, infrastructure, operating needs and data classification. Any serving or model-improvement work is scoped within the approved environment and evaluated before release.
Named customer owners authorise access, approve production and decide how residual risks are treated. Aliph provides the implementation, evaluation findings and operational evidence needed for that decision. Release authority is documented in the engagement.
The agreed handover includes operating documentation, configuration knowledge, evaluation procedures and practical training. It identifies source maintenance, investigation and change responsibilities, with an acceptance process for the team that will run the capability.
Bring the workflow, data environment and intended users. We’ll define the engineering scope, production decisions and capability your team will take forward.
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