`PLATFORM & INTEGRATION`
The plumbing AI features stand on.
AI features break where they meet the rest of your systems. We build the integration layers, event-driven services and infrastructure that carry them under real load.
Start a conversationWhat we build
Microservices and event-driven architecture (RabbitMQ, Kafka, SQS)
Enterprise integration buses connecting many third-party systems
Infrastructure as code: Kubernetes, Terraform, Docker
CI/CD pipelines and staged releases
Observability: Prometheus, Grafana, Datadog
What we own in production
Throughput under real request volumes
Alerting tuned to hidden failure modes
Migrations without stopping the business
Typical team shape
** PM, solution architect, 2 back-end engineers, DevOps engineer, QA.
Related work
All work →Submission intake and claims integration for a US commercial insurer
An event-driven layer that turns inbound ACORD submissions and attachments into underwriter-ready data instead of PDFs to re-key.
Collections CRM and credit monitoring for a Tier-1 bank
Two production systems: a CRM for distressed borrowers and automated tracking of loan-covenant conditions.
Document workflow and process automation for banking and insurance clients
High-throughput document workflows and process automation for a development bank, a life insurer and a collections agency.
START
One line is enough.
Tell us what you need to build or improve, and what the solution has to work with. We will reply with a practical next step.
GOOD TO KNOW
Frequently asked questions
What is platform and integration engineering?
It covers the services, interfaces, data flows and infrastructure that connect business systems and keep products running under real demand.
Can you connect systems from different vendors?
Yes. Our published integration-bus work connected heterogeneous modules and courier providers through a common service layer.
Do you work on high-throughput back ends?
Yes. We design and build services for substantial request or data volumes, with attention to resilience, monitoring and operational handover.
Can you migrate legacy records?
Yes. One published engagement involved 200 TB of historical records moved into a long-term document platform.
Can you build APIs and event-driven services?
Yes. Interface design, message flows, back-end services and the supporting cloud infrastructure are within the platform workstream.
How do you reduce risk during modernization?
We map dependencies and critical workflows, stage migration and rollout, validate data and keep operators informed of what is changing.
Do platform projects include QA and observability?
They can. Testing, instrumentation, alerting and documentation help a platform remain reliable after launch.
Can platform work support an AI roadmap?
Yes. Applied AI needs dependable data, APIs, access controls and monitoring; platform engineering provides those foundations.
Which sectors appear in your platform portfolio?
Published work includes healthcare registries, banking services, public-sector platforms, utilities and logistics.
How do we discuss a complex integration?
Send the systems involved, traffic or data requirements, failure points and target workflow. We will help frame a practical delivery plan.