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Technology

Deep Expertise in the Platforms That Power Enterprise AI

We've made a deliberate choice to go deep rather than broad. By specializing in n8n and Google Vertex AI, we deliver results that generalist agencies can't match — because we've seen every edge case, built every pattern, and know how to scale what we build.

Why We Focus Instead of Diversify

Generalist agencies claim to work with everything. We've found that deep specialization in two complementary platforms delivers dramatically better outcomes.

Faster Delivery

Pre-built patterns, reusable components, and deep platform knowledge mean we deliver faster than teams learning as they go.

Fewer Surprises

We've encountered every edge case in both platforms. Known pitfalls are avoided before they become project blockers.

Better Architecture

We know what scales and what doesn't. Our technical decisions today protect your investment for years.

Full Stack

Complete Technology Ecosystem

Every platform and framework we work with — selected for production reliability, enterprise scalability, and real-world impact across our client engagements.

Core Platform Recommended Trending Optional

AI & Large Language Models

Foundation models and AI frameworks powering intelligent automation and decision systems

Core Platform

Google Vertex AI

ML platform for training and deploying models on GCP. Core AI/ML infrastructure for risk modeling, scoring engines, and production-grade custom model pipelines.

  • Custom model training & MLOps
  • Auto-scaling model serving
  • Explainable AI built-in
  • Enterprise security & compliance
Recommended

Gemini (Google)

Google's multimodal AI model, native to the GCP ecosystem. Natural extension of Vertex AI — document analysis, chat interfaces, code generation, and multimodal reasoning at scale.

  • Multimodal input: text, image, code
  • Native Vertex AI integration
  • Document & contract analysis
  • Long-context reasoning (1M tokens)
Recommended

Claude / Anthropic

Enterprise-grade LLM known for safety, long context windows, and precise reasoning. Ideal for credit document review, contract analysis, and compliance-sensitive workflows.

  • 200K token context window
  • Superior instruction following
  • Low hallucination rate
  • Data privacy & enterprise SLAs
Recommended

LangChain

Open-source framework for building LLM-powered applications. Orchestrates AI chains for multi-step evaluation workflows, RAG pipelines, and structured output generation.

  • LLM chain orchestration
  • RAG pipeline construction
  • Memory & stateful conversations
  • 100+ LLM & vector DB integrations
Trending

CrewAI

Multi-agent AI framework for autonomous task execution. Enables specialized AI agents to collaborate — automating complex KYC checks, document review, and multi-step data enrichment workflows.

  • Role-based agent specialization
  • Inter-agent task delegation
  • Tool use & web browsing
  • KYC & compliance automation
Recommended

RAG — Retrieval-Augmented Generation

Architecture pattern combining semantic search with LLMs for grounded, accurate answers. Enables AI to query proprietary financial data and documents while maintaining factual precision.

  • Query private enterprise data
  • Reduce LLM hallucinations
  • Semantic document retrieval
  • Integrates with any vector DB
Optional

OpenAI / GPT-4o

The most recognized AI brand with multimodal capabilities — text, image, audio, and vision in a single model. Broad API ecosystem and strong market credibility with non-technical stakeholders and enterprise procurement teams.

  • Multimodal: text, image, audio, vision
  • Largest third-party plugin ecosystem
  • Function calling & structured outputs
  • Wide enterprise recognition & trust

Automation & Workflow

Integration engines and orchestration platforms that connect systems, automate processes, and move data reliably

Core Platform

n8n Automation

Open-source workflow automation platform with self-hosting, unlimited executions, and full code node support. The backbone of enterprise integration architectures we build.

  • 500+ native integrations
  • Self-hosted — no per-task pricing
  • AI agent & LLM nodes built-in
  • Custom code in JS or Python
Recommended

Make.com (Integromat)

Visual no-code automation platform with 1,500+ app integrations. Complements n8n for rapid merchant-facing automations, onboarding flows, and client-managed scenarios.

  • 1,500+ app integrations
  • Visual drag-and-drop builder
  • Webhooks & real-time triggers
  • Ideal for business-user automations
Trending

MCP — Model Context Protocol

Anthropic's open standard for connecting AI agents to external tools and data sources. Enables AI systems to interact with APIs, databases, Slack, and internal services through a standardized interface.

  • Standardized AI-to-tool connectivity
  • Works across Claude, GPT-4, Gemini
  • Connect AI to internal APIs
  • Extensible tool definitions

Cloud & Infrastructure

Cloud platforms and infrastructure tooling for deploying, scaling, and managing enterprise-grade workloads

Core Platform

Google Cloud Platform (GCP)

Enterprise cloud suite covering compute, storage, networking, and AI. Our primary infrastructure home — with certified expertise in Cloud Run, Cloud SQL, Pub/Sub, and the full GCP AI portfolio.

  • Cloud Run & GKE for containerized workloads
  • Cloud SQL & BigQuery for data
  • IAM, VPC & enterprise security
  • Certified Google Cloud partner
Recommended

Docker

Containerization platform for consistent, reproducible deployments across environments. Every API, microservice, and automation tool we deliver is containerized for maximum portability and operational reliability.

  • Environment parity: dev to prod
  • Multi-stage optimized builds
  • Docker Compose for local dev
  • Integrates with GKE & Cloud Run
Optional

Kubernetes (GKE)

Container orchestration for scaling workloads. When your API infrastructure outgrows single-container deployments, GKE delivers auto-scaling, rolling updates, and zero-downtime deployments.

  • Auto-scaling based on traffic
  • Rolling deployments, zero downtime
  • Managed via GKE on GCP
  • Horizontal pod autoscaler (HPA)
Optional

Terraform

Infrastructure as Code — declarative cloud provisioning that makes environments reproducible and version-controlled. Every cloud resource defined in code, auditable, and drift-free.

  • Declarative infrastructure definition
  • Version-controlled cloud resources
  • Multi-cloud provider support
  • State management & drift detection

Data, Analytics & Vector Search

Warehouses, analytics platforms, and vector databases for AI-powered search, BI dashboards, and real-time data pipelines

Recommended

BigQuery

Google's serverless data warehouse for large-scale analytics. Analyze transaction patterns, portfolio data, and risk metrics at petabyte scale with SQL — without managing any infrastructure.

  • Serverless — no cluster management
  • Native ML with BigQuery ML
  • Real-time streaming ingestion
  • Connects natively to Looker & Vertex
Trending

Pinecone

Managed vector database for AI-powered semantic search and retrieval. Powers RAG pipelines and semantic search over financial documents, client profiles, and unstructured data stores.

  • Fully managed vector infrastructure
  • Sub-10ms similarity queries
  • Scales to billions of vectors
  • Native LangChain & LlamaIndex support
Recommended

Looker / Looker Studio

Google's BI and data visualization platform. Build interactive dashboards for portfolio performance, merchant analytics, and risk KPIs — directly on top of BigQuery and Cloud SQL data.

  • Native BigQuery integration
  • Embedded analytics in any app
  • Real-time data dashboards
  • LookML semantic data layer
Optional

Apache Kafka

Distributed event streaming platform for real-time data pipelines. Enables real-time transaction monitoring, fraud detection event streams, and high-throughput data ingestion architectures.

  • Millions of events per second
  • Durable, replayable event log
  • Consumer group fan-out patterns
  • Integrates with BigQuery & GCS

Development & APIs

Frameworks and standards for building, documenting, and deploying high-performance APIs and backend services

Recommended

FastAPI / Python

High-performance Python web framework for building APIs. The backend of choice for AI-powered endpoints — scoring services, LLM proxies, and enrichment APIs — with automatic OpenAPI documentation.

  • Async-first, high throughput
  • Auto-generated OpenAPI docs
  • Native Pydantic data validation
  • Ideal for ML model serving
Recommended

Swagger / OpenAPI

Industry standard for API documentation and contract definition. Every API we build ships with interactive Swagger UI — enabling your team and partners to explore, test, and integrate without friction.

  • Interactive API explorer
  • Machine-readable contract (OpenAPI 3.x)
  • Auto-generated client SDKs
  • Used in production on Cloud Run
Trending

Supabase

Open-source Firebase alternative with Postgres, authentication, and real-time subscriptions. Accelerates backend development for portal features and dashboard applications with a managed, scalable stack.

  • Postgres with real-time subscriptions
  • Built-in auth & row-level security
  • Auto-generated REST & GraphQL APIs
  • Edge functions for serverless logic
Optional

Next.js / React

Full-stack React framework for building high-performance web applications with server-side rendering and static generation. Ideal for merchant portals, documentation sites, and data-rich dashboard interfaces.

  • Server-side & static rendering
  • App Router with React Server Components
  • Built-in API routes & middleware
  • Optimized for data-driven UIs

Security & Compliance

Authentication, authorization, and protection layers ensuring APIs and data pipelines meet enterprise security requirements

Recommended

OAuth 2.0 / JWT

Industry-standard protocols for authentication and authorization. Every API we deliver uses OAuth 2.0 flows with JWT token validation — ensuring secure, expiring, scope-limited access for all integrations.

  • Stateless JWT authentication
  • Scope-based authorization
  • Token rotation & refresh flows
  • Compatible with all major identity providers
Optional

Google Cloud Armor

DDoS protection and Web Application Firewall for cloud workloads. Protects API endpoints and web portals from volumetric attacks, bot abuse, and OWASP Top 10 vulnerabilities at the edge.

  • DDoS mitigation at GCP edge
  • OWASP Top 10 WAF rules
  • Geo-based access control
  • Adaptive threat intelligence

Ready to Put These Platforms to Work?

Let's discuss your use case. We'll tell you which technology fits and how to get to production fastest.

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