AI Portfolio
How we deliver AI/ML, agents, and AI DevOps, organized by capability. Named client outcomes live in Case Studies.
AI-native delivery
Agents, platforms, and automation designed for governed enterprise scale.
2011+
Enterprise delivery DNA informing AI programs
AI-first
AI/ML · Agents · Vision · LLMOps
VPC
Private-cloud by default
Owned
IP transfer on delivery
Enterprise AI outcomes
Capability narratives across AI/ML, AI Agents, and AI DevOps. Named client outcomes live in Case Studies.
01 - Finance
Multi-Agent Systems
A governed multi-agent workforce for banking operations, with policy controls, audit trails, and human approval gates.
The turn: Specialized agents for intake, evidence, policy checks, and escalation under a shared control plane.
Routine ops accelerate while high-risk actions stay human-gated and auditable.
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02 - Enterprise Software Engineering
Enterprise AI
An enterprise AI software engineering platform for complex codebases and automated development lifecycles.
The turn: An end-to-end AI-powered software engineering environment that unifies requirements gathering, system modeling, code generation, change impact analysis, automated testing, and PR review into a single governed workflow.
Developers quickly comprehend legacy software systems, architectural intent, and complex cross-repo dependencies. Product managers, QA engineers, and architects operate inside a shared workspace with common project context. Every pull request, spec generation, and test artifact maintains full auditability and security compliance.
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03 - PropTech
Computer Vision
An enterprise cloud inspection platform for automated building facade, damage detection, and structural health analysis.
The turn: T2D2 provides a multi-agent cloud platform where high-resolution structural imagery is automatically processed, damage is identified and tagged with precise bounding boxes, and deterioration is tracked across historical timelines. T2D2 connects asset managers, engineering teams, and drone operators in a unified, audit-ready ecosystem.
Routine manual image auditing timelines are reduced by up to 70%, allowing structural experts to focus on complex exception evaluations. Catching surface micro-cracks and spalling early prevents major structural degradation, safety hazards, and regulatory fines. Every defect detection retains precise spatial coordinates, historical capture timestamps, and raw image lineage for regulatory reporting.
View projectBrowse by AI services
AI Infrastructure
Models, agentic orchestration, retrieval, and cloud estates we compose for private, production-grade systems, not demo stacks.
Claude
LangGraph
LlamaIndex
CrewAI
Pinecone
Weaviate
Qdrant
Azure
NVIDIA
Kubernetes
PyTorch
Hugging FaceBusiness Impact
Target outcome classes across cost, speed, automation, and trust. Specific client metrics live in Case Studies.
Lower
Agentic triage and workflow automation aimed at operating cost, not a guaranteed percentage.
Faster
Governed agents and AI analytics designed to compress decision cycles with human gates on risk.
Governed
Higher throughput on routine paths while humans own high-risk actions.
Shorter
AI platforms and LLMOps so teams ship production systems instead of repeating pilots.
Evaluated
Evaluation harnesses and citations on governed workflows, accuracy is measured per program.
Yours
Code, agents, and fine-tunes transfer at handover, no rented platform.
Start your AI transformation
From strategy to agentic production systems, we design AI/ML, AI Agents, and AI DevOps platforms enterprises own.
