AI solutions
Build assistants that search company knowledge, summarize documents, and carry out defined tasks with human review.
DATA · AI · SOFTWARE
Less manual work.
More connected systems
When data is scattered and software cannot keep up, everyday work takes longer than it should. Neuraal builds the applications, data connections, and AI tools that help your team move forward.
TRUSTED BY TEAMS AT
START WITH THE BUSINESS
What is slowing your team down?
Perhaps reports disagree, approvals sit in email, or an older application makes a simple task difficult. We look at the people, processes, and systems involved before deciding what to build.
That understanding gives the project a clear purpose: which work should improve, and how your team will know it has.
WHERE CHANGE BEGINS
Make everyday work easier
These are common starting points for our work. Each calls for a different combination of data, software, and automation.
01
Scattered, unreliable data
Make your reports use consistent data
Connect scattered sources, resolve inconsistent records, and agree on metric definitions so teams can work from the same figures.
Sources → Quality → Readiness
02
Manual work across systems
Reduce manual work between systems
Connect the tools your team uses and automate repeatable steps. Route exceptions to the person responsible for reviewing them.
Request → Decision → Action
03
Knowledge trapped in documents
Help employees find the information they need
Build tools that search and summarize approved documents, show the source of an answer, and respect existing access permissions.
Content → Context → Answer
04
Software that no longer fits
Update the software your team depends on
Improve slow or outdated applications, update their integrations, and make common tasks easier for the people who use them.
Workflow → Platform → Adoption
OUR ENGINEERING CAPABILITIES
Build what the business needs
Once the problem is clear, we bring the right engineering skills to it. Explore a service below, or combine them for a project that crosses systems and teams.
Data solutions
Connect data sources, resolve quality issues, and move data to platforms that support reporting and business applications.
Software development
Develop custom applications, internal tools, and integrations that fit your workflows and connect your existing systems.
WHEN THE WORK NEEDS AI
Put AI to work, with clear limits
Some workflows need more than a fixed set of rules. An AI agent can look up information, choose a next step, and use connected tools. We define its responsibilities and the actions that need a person’s approval.
We define these controls before deployment:
- The task the agent should complete
- Approved information sources
- Tools it is allowed to use
- Actions it can take without approval
- Tests for accuracy and task completion
- Actions that require human approval
- A record of the steps it takes
- What happens when a step fails
HOW AN AGENT COMPLETES A TASK
01. DefineDefine the task and its limits.
02. PlanChoose the next step using available information.
03. ActUse an approved tool to carry out the step.
04. CheckCheck the result before continuing.
Human oversightAsk a person to review exceptions and approve restricted actions.
A PRACTICAL EXAMPLE
Turn company knowledge into useful answers
A document assistant shows how these capabilities come together. Connected data supplies the content, AI finds and summarizes relevant information, and software lets employees ask questions and check the sources.
01
Approved documents
Keep source documents current and limit access to the employees who are allowed to read them.
Sources · Updates · Access
02
Search and answer
Find relevant passages and use them to prepare an answer that employees can check against the source.
Search · Summaries · Sources
03
Employee interface
Give employees a place to ask questions, open source documents, and flag an incorrect answer.
Questions · References · FeedbackThe same principle applies to other projects: the data, the decision, and the user experience need to work together. If an answer cannot be supported, the assistant should make that clear.
The right team to make it happen
Technology is only part of the work. Whether you need us to deliver a solution, add expertise to your team, or support hiring, we can help you put the right people in place.
PROJECT DELIVERY
- Complete project delivery We manage design, development, testing, deployment, and handover against an agreed project scope.
- Discovery and architecture Clarify requirements, assess your existing systems, and plan the architecture before development begins.
ENGINEERING SUPPORT
- Forward deployed engineers Engineers work alongside your team to understand the problem, build a solution, and support its use in your environment.
- Staffing and consultants Add engineers and consultants with the skills your project needs, through contract, contract-to-hire, or permanent roles.
HIRING
- Recruitment as a service Support for ongoing engineering recruitment, including sourcing, screening, and interview coordination.
- Technical screening Evaluate candidates against the technical skills and responsibilities of the role you need to fill.
FROM SCOPE TO HANDOVER
Move forward with a clear plan
For projects we deliver, we agree on the scope and responsibilities, share work for review, and prepare your team for release. You can see what has been built, what has been tested, and what comes next.
01Plan
Agree the scope
Review your workflows and systems. Define the requirements, responsibilities, and acceptance criteria.
Scope and design02Build
Build and review
Develop in reviewable stages and test against the requirements, including integrations and access controls.
Progress and test results03Release
Release and hand over
Prepare deployment, provide the code and operating guidance, and document outstanding work.
Code and documentation
INSIGHTS
Plan your next move with confidence
Not ready to define a project yet? Our Insights explain the choices, tradeoffs, and common pitfalls behind AI, data, and software work.
Agentic AI
What Is Agentic AI? A Practical Guide for Business and Technology Teams
A grounded introduction to what makes an AI system agentic, where it can help and where conventional automation may be the better choice.
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Agentic AI vs Generative AI: What Changes When Software Can Act?
Understand the difference between generating an answer and coordinating a sequence of actions across tools and systems.
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Retrieval-Augmented Generation in Production: What Actually Breaks
Learn how retrieval quality, access permissions, outdated content, and monitoring affect RAG applications in production.
Read the guidance