01
An AI pilot needs a release plan
Assess evaluation coverage, deployment requirements, and unresolved failure cases.
AI, DATA & SOFTWARE SERVICES
Build the systems
your business needs.
We design and build AI applications, connected data platforms, and custom software. Start with the work you want to improve.
Five manual steps are swept away and replaced by a single answer carrying the policy clause it was based on.
WHERE THE WORK STARTS
Find your project’s starting point
The first task is to establish what the engagement needs to resolve. Use these situations to identify the assessment or implementation work worth considering.
02
Reporting needs an agreed data model
Trace calculations to their source and document how key records should be represented.
03
A platform change puts records at risk
Define migration rules, reconciliation checks, and the conditions for switching platforms.
04
An integration has no reliable interface
Specify the exchanged data, authentication, retry behavior, and error handling.
05
An internal process needs an application
Establish user roles, approval rules, and the history that must be retained.
06
A legacy application needs a technical review
Inspect dependencies, support risks, and the feasibility of incremental upgrades.
FIND THE RIGHT SERVICE
Know what each service covers
The following service areas describe the technical work available. Open a specialist page for more detail, then bring the relevant requirements into a shared scope where several services are needed.
01 / AI SOLUTIONS
AI solutions
AI engagements can cover model integration, retrieval, agent workflows, and evaluation. The scope defines the expected outputs, permitted actions, and tests needed to assess reliability before release.
Explore AI solutions
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Agentic AI Development
Implement task execution across multiple tools, including state management, approval checkpoints, and recovery when a step fails.
Generative AI Solutions
Develop retrieval and content-generation features with document preparation, model integration, source attribution, and output evaluation.
AI Automation
Combine AI-based classification or extraction with workflow rules, system updates, exception queues, and activity logs.
02 / DATA SOLUTIONS
Data engineering and modernization
Data engagements address how records are collected, represented, transferred, and maintained. Scope can include platform architecture, pipeline implementation, migration planning, and validation at each destination.
Explore Data Services
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Data Engineering
Design ingestion jobs, storage structures, scheduling, and monitoring, with checks for completeness and data quality.
Data Migration
Plan source-to-target mappings, trial transfers, reconciliation, and cutover for database, application, or cloud moves.
Data Transformation & Integration
Implement conversion rules, shared schemas, and interfaces that preserve business meaning across different formats and systems.
03 / SOFTWARE
Software development
Software engagements cover application design, implementation, integration, and modernization. Requirements establish the user journeys, business logic, system interfaces, and operational constraints that shape the build.
Explore Software Development
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Custom Applications
Deliver web or business applications with defined user journeys, role-based access, business rules, and administrative functions.
APIs & Integrations
Develop service interfaces with authentication, validation, versioning, and documented behavior for failed or repeated requests.
Internal Platforms
Implement staff-facing systems for operational records, approval paths, task allocation, and management visibility.
Choose who owns delivery
The engagement model determines accountability, day-to-day direction, and the skills assigned. Agree on those responsibilities alongside the technical scope.
PROJECT DELIVERY
- Complete project deliveryAssign a defined scope to Neuraal, with milestones, acceptance criteria, and named responsibilities established for the engagement.
- Discovery and architectureCommission an assessment of feasibility, dependencies, and design options to inform the implementation decision.
ENGINEERING SUPPORT
- Forward deployed engineersPlace engineers close to the users and operational context, with access, responsibilities, and coordination agreed at the outset.
- Staffing and consultantsSpecify the discipline, experience, expected duration, and reporting arrangement for the resources you require.
HIRING
- Recruitment as a serviceDefine a hiring plan and delegate agreed recruitment activities while retaining your organization’s selection decisions.
- Technical screeningUse role-specific technical assessments and structured feedback to inform your hiring decisions.
FROM SCOPE TO RELEASE
Keep delivery decisions visible
Each stage needs a reviewable output. We use the agreed requirements to guide design decisions, assess completed work, and decide whether the project is ready for its next stage.
- 01
Understand
Document the use cases, exclusions, dependencies, and acceptance conditions that establish the scope.
- 02
Architect
Record the proposed components and interfaces, including the reasons for key technical choices.
- 03
Build
Implement the agreed features and demonstrate completed increments against the delivery plan.
- 04
Validate
Capture evidence from functional, integration, access, and performance checks relevant to the scope.
- 05
Deploy
Confirm release readiness, environment settings, rollback arrangements, and operational responsibilities.
- 06
Improve
Prioritize post-release findings and separate corrective work from proposed additions to the scope.
WORKING WITH YOUR TECHNOLOGY
Make technology choices that hold up
A tool must suit both implementation and long-term operation. Platform choices account for existing licenses, hosting arrangements, access policies, expected load, and the experience of the team responsible after launch.
AI & INTELLIGENCE
Model APIsRetrieval systemsEvaluation frameworksAgent orchestration
DATA & PLATFORM
PostgreSQLSnowflakeDatabricksModern pipelines
CLOUD & ENGINEERING
AWSMicrosoft AzureGoogle CloudContainers & APIs
PLANNING YOUR PROJECT
Set expectations before committing
What types of organizations partner with Neuraal?
We assess fit through the proposed scope, available access, technical requirements, and delivery expectations. An initial review helps establish whether the engagement is practical for both teams.
Can you work with an existing technology stack?
Yes. Compatibility is part of the assessment, including platform versions, interface availability, deployment restrictions, and internal standards.
Do we need to know which technology we want first?
No. A description of the intended capability is enough for an initial review. Discovery can compare options before an implementation approach is selected.
Can a project include both data engineering and AI?
Yes. The scope can include both, with dependencies and acceptance checks defined across the data preparation and AI components.
Can you take over an existing project?
An assessment comes first. Repository access, build instructions, available documentation, and a list of known issues help us estimate the work required to take responsibility.
LET’S TALK
Let’s define the scope
Send a brief description of the proposed work, the systems involved, and any target dates. We can review the assumptions, identify missing information, and discuss a suitable engagement.