New York teams buying AI help usually have a real queue—underwriting, compliance, ops, finance—not a blank prompt. We build agent systems that run those queues under controls you can defend.
Many NY clients sit under banking, insurance, healthcare-adjacent, or public-company controls. We design agents with permission boundaries, human review on material decisions, and logs that map to how your compliance team already thinks about evidence.
We do not claim a product certification. We engineer systems that fit the policies and vendors you already use—screening, DMS, core platforms—and make the path from input to decision inspectable.
Data residency and access follow your stack. If work must stay in your VPC or approved regions, the architecture starts there, not as an afterthought.
Engagements start with one workflow worth owning: clear owners, systems of record, and a success definition that ops can measure (queue time, exception rate, audit readiness)—not a slide deck of use cases.
We integrate with tools already in the path: ticketing, document stores, CRMs, rating or policy admin, data warehouses. The agent is the worker; your systems stay the system of record.
Remote-first delivery with senior engineers who show up in the tools you use. When on-site workshops help, we schedule them; the default is shipping against real environments.
Pick one package type or case type. Encode the checklist as versioned rules. Run on real samples with a human queue for low confidence.
Expand document types and appetite rules only after the first loop is stable in production traffic.
Platform and product engineering sit next to agent work when the blocker is brittle APIs or missing operator UI—not as a separate sales motion.
Yes. We build production AI agent systems for operational workflows—document-heavy intake, compliance checks, reconciliation, and similar queues—with human review and audit trails. Delivery is remote-first; the work is scoped to your systems and policies.
Usually no. Most NY buyers who need agents need execution: extract, check, route, log. Chat can be a channel, not the product.
We design for your approved infrastructure and access model. Models, storage, and logs follow the constraints you set before build starts.
One workflow description, the systems it touches, what "done" means for ops, and where humans must stay in the loop. That is enough to give an honest go / no-go and a rough shape of a first production loop.
We treat agents as software systems: schemas, rules, permissions, evals, and operator UX—not only prompts. If the right answer is "don't build," we say so.
Engineering services
Custom AI agent development in New York is the kind of workflow we build as an AI agent system: deterministic checks, human checkpoints, and an audit trail operators can trust. We start from your real process boundaries and ship software that holds up in production.
We build production-ready, highly observable agentic systems engineered for enterprise scale. No black boxes, no magic—just systematized workflows with systemic safeguards.
We don't build fragile wrappers. Complex decisions and exceptions are automatically routed to your team for approval, ensuring zero unverified actions in production.
Every AI-generated output is validated against deterministic, programmatic rules before execution, guaranteeing structural integrity and compliance.
Our architecture records every state change, agent reasoning step, and user interaction, providing complete observability into your automated workflows.
Built for enterprise scale. We optimize for high-throughput, low-latency execution using edge infrastructure and efficient state management.
Scale transactional microservices in NYC with low-latency Go architectures, optimized for extreme peak loads and high-volume trades.
SingaporeAutomate your Singapore-based operations with production-ready AI agents built for compliance and security in accordance with MAS guidelines.
LondonBring accountable AI automation to your UK operations. We build systems that understand complex financial and legal compliance rules.