We build autonomous agent systems that run your operations. Deep workflow integration, persistent memory, multi-model orchestration, and continuous self-improvement. Production infrastructure, not prototypes.
Discuss your project →Specialized agents with enforced handoffs, quality gates, and automatic regeneration on failure.
Scheduled agents that initiate actions on cadence. Context logs bridge autonomous and interactive sessions.
Persistent knowledge in structured markdown. Human-auditable, version-controlled, zero migration.
Unified protocol for agent-to-service communication. Swap providers without system changes.
Inspired by Karpathy's vision of autonomous self-improvement. Our agents close their own feedback loops — failures update rules, successes reinforce patterns, deep research surfaces what humans miss. No retraining. No fine-tuning.
Map every tool, channel, and decision point. Interview the people doing the work. Understand the domain before writing code.
Design agent topology, vault schemas, quality gates, model selection, integrations, and human-controlled boundaries.
Ship to production. VPS-hosted, always-on. Interface through existing tools. Continuous self-improvement from day one.
Organizations running on fragmented tools with no central intelligence layer. Scheduling, finance, communications, and project management scattered across disconnected systems.
Professional content requiring deep domain knowledge — contracts, market analyses, marketing materials, technical documentation. Generic AI lacks the domain depth to be production-ready.
Professional services operations spanning dozens of active engagements. Communications, contracts, expenses, scheduling, follow-ups, and reporting all running through one operator's memory.
All vault data and logs on your infrastructure — VPS or on-premise. No sensitive data transits third-party storage. You own the data.
We use the latest frontier models and optimize each agent role for reasoning depth, execution speed, and cost. No single-provider dependency — swap models without system changes.
Behavioral constraints in code, not prompts. Data boundaries, action limits, and escalation triggers enforced at the system level.
Every decision logged with reasoning traces. Git-versioned memory — see what changed, when, and why. Roll back any action instantly.
Policy-based privacy and security controls inspired by NVIDIA NemoClaw. Agent behavior boundaries, data handling rules, and controlled cloud access with local-first processing for sensitive operations.
Sensitive operations run locally. Cloud-routed tasks filtered through defined security boundaries. Per-agent data access scopes with no lateral privilege escalation.
Vecreal is a Canadian AI engineering firm based in Alberta. We build autonomous agent systems for organizations that need AI to do real work — operate pipelines, manage relationships, produce deliverables, generate contracts, and make decisions within defined boundaries.
Our systems are in production. Every pattern we deploy comes from real deployments, not theory. We work with a small number of clients at a time to ensure depth.