Built systems

Platforms

wSquared Technologies designs and deploys custom AI systems that are meant to be used in real environments. This includes retrieval-augmented platforms, webchat interfaces, private model access layers, automation services, and the infrastructure required to run them reliably.

Showcased implementation categories

  • Custom RAG platforms
  • Webchat interfaces
  • Ollama routing and model gateways
  • Private AI environments
  • Automation and orchestration
  • Observability and operational support

Built systems, not just concepts

Many businesses are interested in AI, but what they actually need is a usable system tied to their workflows, data, and infrastructure. Our work focuses on turning that requirement into deployable platforms that can be maintained and extended over time.

Below are examples of the kinds of solutions wSquared Technologies builds and can tailor to your environment.

Custom RAG Platforms

We build retrieval-augmented generation systems that turn internal content into usable operational knowledge. These platforms are designed to help teams search, retrieve, and work with information that would otherwise remain buried in documents, notes, manuals, and technical records.

  • Ingestion of internal documentation and files
  • Searchable knowledge retrieval
  • Context-aware responses grounded in internal data
  • Internal knowledge portals and APIs
  • Private deployment options for greater control

Webchat Interfaces for Internal and Customer-Facing Use

We build webchat interfaces that provide a clean, usable front end for AI-backed workflows. These interfaces can be used internally by staff or adapted for controlled customer-facing use cases.

  • Browser-based AI chat interfaces
  • Access to internal knowledge systems
  • Workflow-aware prompts and responses
  • Integration with private model backends
  • Controlled access and session-aware design

Ollama Router and AI Gateway Architecture

We build custom routing and gateway layers that make local and private AI systems easier to manage. These solutions can unify access to multiple model backends while improving control, flexibility, and operational clarity.

  • Routing across multiple model endpoints
  • Centralized access to local model infrastructure
  • Support for workload separation by purpose
  • Logging, monitoring, and usage visibility
  • Controlled deployment within private infrastructure

Private AI Environments

Some workloads cannot be handed off to public consumer platforms. We help clients build private AI environments that support stronger control over infrastructure, deployment, and data handling.

  • Self-hosted AI services
  • Internal-only deployments
  • Hybrid and edge-compatible environments
  • Model access inside controlled networks
  • Architecture designed around privacy requirements

Automation and Orchestration

AI systems become more valuable when they are connected to workflows. We build automation and orchestration layers that link data, events, services, and actions into usable operational pipelines.

  • Intake and triage workflows
  • Scheduled processing pipelines
  • Notifications and escalation logic
  • Service-to-service integrations
  • Task routing and internal operational tooling

Observability and Operational Support

A system is only useful in production if it can be monitored and supported. We design solutions with operational visibility in mind so they remain stable, understandable, and maintainable after deployment.

  • Service health checks
  • Metrics and dashboards
  • Log collection and alerting workflows
  • Deployment validation
  • Operational documentation

Need something similar?

Let’s build the right platform for your environment.

These examples reflect the kind of work wSquared Technologies performs: practical AI systems, integration-focused architecture, and infrastructure-aware deployments built for real operations.