Model-agnostic. Enterprise-integrated. Deployed in your environment.

We don't lock clients into a specific AI provider or cloud platform. We select the best option for your use case, compliance requirements, and existing infrastructure.

AI MODELS

We are model-agnostic — the right model depends on your use case, data sensitivity, and compliance requirements.

OpenAI GPT-4o

Default for most document and conversational workflows — strong reasoning and instruction-following

Anthropic Claude

Preferred for long-document analysis, contract review, and compliance-sensitive applications

Google Gemini

Used for multimodal workflows requiring image and document understanding together

Meta Llama 3

On-premises deployments — fully air-gapped with no external API calls

Mistral

On-premises deployments where lower resource requirements are needed

CLOUD PLATFORMS

All cloud deployments go into your own account. DeView does not operate shared cloud infrastructure for client workloads.

Amazon Web Services (AWS)

Bedrock, Lambda, RDS, S3 — primary cloud for clients in finance and lending

Microsoft Azure

Azure OpenAI Service, Azure AI Foundry — preferred for clients with existing Microsoft licensing

Google Cloud Platform

Vertex AI, Cloud Run, BigQuery — used for clients with existing GCP relationships

On-premises / private cloud

For fully air-gapped regulated deployments — Llama 3 or Mistral on client infrastructure

ENTERPRISE INTEGRATIONS

AI that doesn't connect to your systems doesn't solve your operational problems. We build native integrations with the platforms already in use.

Salesforce / HubSpot

CRM read and write — account context retrieval, ticket creation, case updates

SAP / Oracle ERP

ERP data access for financial and operational data pipelines

SharePoint / Google Drive

Document library ingestion for knowledge assistants and contract review

Confluence / Notion

Internal wiki ingestion for knowledge assistants

SQL databases

Read-only service account connections for reporting and analytics

Slack / Microsoft Teams

Notification routing and team alert delivery

Email (IMAP/SMTP)

Inbound document and query intake from email channels

Tableau / Power BI / Looker

BI tool connections for reporting copilot data access

VECTOR & RETRIEVAL

Retrieval-Augmented Generation (RAG) is how we give AI access to your specific documents without it hallucinating information.

Pinecone

Managed vector database for knowledge assistants and document search

Weaviate

Self-hosted vector database for on-premises RAG deployments

pgvector (PostgreSQL)

Vector search within existing PostgreSQL databases — lower operational overhead

LangChain / LlamaIndex

Document chunking, embedding pipelines, and retrieval orchestration

INFRASTRUCTURE & MLOPS

Production AI requires monitoring, drift detection, and evaluation pipelines — not just a model and an API key.

Docker / Kubernetes

Container orchestration for scalable, reliable production deployments

Supabase (PostgreSQL)

Audit logging, project management, and client portal data

Next.js / Node.js

Application layer for AI-powered interfaces and API routes

Resend / Web3Forms

Email delivery with multi-tier fallback

Netlify / Vercel

Deployment hosting for web interfaces and API endpoints

Regulatory frameworks we design for

FrameworkRegionHow we address it
GDPREU / EEAData residency, processing agreements, audit trail, deletion rights
PDPOHong KongPrimary jurisdiction — data handling, retention, and security requirements
MAS TRMSingaporeTechnology risk management for financial institutions
HKMAHong KongOn-premises deployment options for regulated banking data
FCAUnited KingdomConsumer duty alignment, explainability, human-in-the-loop requirements
CCPACalifornia / USData access controls, consumer rights compliance

DeView does not currently hold SOC 2 or ISO 27001 certifications. Architecture documentation and completed security questionnaires are available on request for enterprise procurement.

Have specific stack requirements?

Tell us your existing systems and any compliance constraints. We'll tell you how we'd approach it and whether there are any gaps.