AI integration services for your Java applications
Help teams find information, prepare decisions and automate bounded tasks. We connect AI features to your existing data and workflows, with evaluation, access controls and a clear path to operation.
- Best fit
- Java teams with a defined use case and accessible data
- Pilot
- Four-week target after scope and access are agreed
- Commercial model
- Time and materials pilot with a ballpark estimate; optional ongoing retainer
- You keep
- Code, evaluation results and operating documentation
Machine learning built and operated in practice
- 20-30 ms
- recommendation response times in Recostream, the product we built and operated.Recostream case study
- Acquired
- Recostream was acquired by GetResponse in December 2022.Recostream acquisition story
- Data quality
- anomaly detection for healthcare research, identifying records that need investigation.Healthcare research case study
They have impressively good knowledge of AI issues. Very responsive to any amendments and findings. Very good communication. We received a finished project which could be implemented into production shortly after testing.
Start with a task your team can evaluate
Search and answers over your data
Retrieve relevant documents and records with source references. Design retrieval around the permissions of the person asking the question.
Drafting and decision support
Prepare summaries, responses or case notes for a person to review. Agree what a useful answer looks like and which decisions remain with your team.
Bounded agent workflows
Connect model calls to approved tools and APIs. Define action limits, human approval points and a way to stop the workflow.
Recommendations and classification
Use machine learning for ranking, recommendations or triage where it improves on a simpler rule. Evaluate quality against representative examples.
A working feature and the evidence to judge it
One agreed use case
A written scope, success measures, data-access requirements and a decision on whether AI is appropriate.
Integration in your environment
Java and Spring integration with agreed model providers, existing APIs, identity controls and deployment tooling.
Evaluation and safeguards
A representative evaluation set, quality and latency results, usage-cost measurements, logging and human approval where required.
Rollout and handover
Code in your repository, an operating guide and a release plan. Production rollout follows agreed acceptance criteria and your approval.
A four-week pilot, scoped around readiness
Agree the use case
Confirm access, domain-expert availability, evaluation criteria and the ballpark estimate before kickoff. Identify any preparation needed first.
Build the integration
Implement the data path, model calls and controls. Share working software every week so your team can review behavior early.
Evaluate and decide
Test representative and failure cases. Review quality, latency and cost together; improve, release or stop based on the evidence.
Operate or extend
Your team can take over with the code and runbook. An optional retainer supports further use cases and agreed operating responsibilities.
Start with a scoped pilot
The ballpark estimate covers one use case and its agreed deliverables. The pilot is billed time and materials. Model usage and hosting costs are identified separately. Four weeks is the delivery target for a ready, bounded scope; data preparation, security approvals or additional integrations may change the plan.
Ongoing work uses a monthly retainer sized to the agreed workload. The retainer is optional.
Before we start
Which models and frameworks do you use?
We choose hosted or self-hosted models around your data policies, operating requirements and evaluation results. Spring AI is an option for Java integration; the design depends on your existing stack.
How do you handle sensitive data?
We agree permitted data, providers, retention and logging before implementation. Retrieval must enforce user access rights, and logs must avoid exposing information beyond those rights. Your security and compliance teams review the proposed controls.
Does an older Java application need modernization first?
We assess the integration boundary and supported dependencies before recommending changes. A runtime upgrade, a separate service or an existing API may be appropriate; the pilot proposal explains the tradeoffs.
What if the pilot does not meet its acceptance criteria?
We report the results and remaining limitations. You can choose a revised scope, a simpler rules-based approach or no further development. Production rollout is not an automatic pilot outcome.
Can our own team operate the feature?
Yes. The handover includes code, configuration, evaluation cases and operating documentation. We agree who owns monitoring, model changes and incident response before release.
Do you build RAG and LLM integrations?
Yes, and most pilots are one or the other: retrieval-augmented generation over your own documents and data, or LLM integration into an existing workflow, with the model called from your Java services through Spring AI. In RAG development services the quality of retrieval usually matters more than the choice of model, so evaluation starts there. As LLM integration services go, ours end in a feature your team can operate, with prompts, retrieved sources and outputs logged.
Are you an AI consulting firm or an AI development company?
A Java engineering company that integrates AI. Our AI consulting services end in working software rather than a slide deck. We are not an AI development company that trains foundation models, or a generative AI development company building standalone chat products. Where an agent is the right design we build bounded agents that call your existing services under the same access controls: an AI agent development company often starts from the agent, and we start from the system it has to act on.
Related services and guides
Explore an AI use case
Bring the workflow, the data it needs and the result you want to measure. We will identify a suitable pilot scope and the preparation it needs.