Rapida · Delivery Service Platform
A high-performance delivery platform with real-time tracking and immersive 3D visualizations.
LLM integration is rarely an LLM problem. It is a SharePoint permissions problem, a Salesforce data-access problem, an Active Directory group-mapping problem, and a network-zone-firewall problem with a model attached at the end. Our services reflect that. We build identity-aware retrieval that respects existing AHS, ATB, or Government of Alberta access-control lists so a clinician copilot never returns documents the user is not entitled to read. We integrate with ServiceNow ITSM, Salesforce Service Cloud, and Microsoft Dynamics 365 Customer Service to embed AI assistance inside agent workflows. We wire Microsoft Copilot Studio, Anthropic Claude through Bedrock, and Cohere Coral into Teams and SharePoint when the client has already standardised on Microsoft 365. We add Promptfoo or Ragas evaluation harnesses and Langfuse or Helicone observability with Canadian self-hosting so every integration is measurable, not vibes.
Edmonton LLM integration projects start with a system map, not a model selection. Discovery documents the existing Epic instance at AHS, the Salesforce org at ATB, or the ServiceNow tenant at the Government of Alberta. We identify integration points, draft an AIDA risk classification, write a PIPA personal-information audit, and produce a network and identity threat model before model choice. Build sprints are two weeks with evaluation harness, citation fidelity tests, and prompt-injection defences scoped into sprint one, not bolted on at the end. Pre-production runs through a documented red-team week against the specific integration surface (Teams sidebar prompt injection, retrieved-document indirect injection, role escalation through agent workflows). Cutover is staged with shadow mode where applicable, and a documented rollback path that internal audit at AHS, ATB, or OSFI recognises. MST standups, MST Slack, MST emergency rotations.
We map the business problem, the users and the constraints, then agree what success looks like in numbers.
Flows, interface design and a clickable prototype, so the hard decisions are settled before engineering starts.
Two-week sprints against a fixed scope. You see working software every fortnight, not a status report.
Load testing, security review, migration and a rollout plan — with someone from the build team on call.
Monitoring, iteration and a support SLA. Most clients keep building with us long after go-live.
Default model layer: Cohere Command R+ on Canadian endpoints for sovereignty-first workloads, Anthropic Claude on AWS Bedrock ca-central-1 for cross-border-acceptable work, Azure OpenAI in Canada Central when the client is Microsoft-centric, self-hosted Llama 3 70B or Mistral Large on g5/p4d in ca-west-1 when AIDA explainability or contract terms rule out closed APIs. Integration layer: LangChain or LlamaIndex for orchestration when the team needs a framework, plain Python or Node when the team prefers direct API control. Identity: Microsoft Entra ID, Okta, or Ping with row-level retrieval filters. Observability: Langfuse self-hosted on ca-west-1, Helicone, or Datadog LLM Observability. Evaluation: Promptfoo and Ragas in CI. Secret management: AWS Secrets Manager, Azure Key Vault, or HashiCorp Vault aligned with the client's existing patterns.
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Selected Projects
Recent platforms, apps and dashboards we designed, built and shipped.
A high-performance delivery platform with real-time tracking and immersive 3D visualizations.
Enterprise-grade security dashboard with real-time threat monitoring and analytics.
A curated marketplace connecting artists with collectors worldwide.
Cross-platform mobile experience with live delivery tracking and notifications.
Scalable microservices architecture handling millions of security events daily.
Comprehensive content management system with advanced analytics and reporting.
Our Work
200+ products shipped across fintech, healthcare, e-commerce, and SaaS — built to scale, designed to convert.


