AI Agents
Tool-using agents with deterministic guardrails, structured outputs, and evaluation harnesses you can trust in production.
VectaStack builds production-ready AI agents, RAG systems, workflow automation platforms, and enterprise software that can be deployed, monitored, and scaled in real-world environments.
01 — Our story
We kept seeing the same pattern: impressive AI demos that collapsed the moment they touched real data, real users, or real volume. The gap wasn't models — it was engineering.
VectaStack was founded to close that gap. We bring backend, infrastructure, and applied ML practices to AI products so that what ships behaves the same on day 1 and day 400 — with evals, telemetry, and clear failure modes.
Our team has built and operated systems at startups and at scale. We bias toward small, senior teams, deep ownership, and code your engineers can keep running long after we hand it off.
02 — Principles
We treat LLMs as non-deterministic microservices, wrapping them in strict software engineering guardrails.
No black boxes. We ensure agents behave consistently according to business logic, not just system prompts.
Edge-native architectures designed to handle millions of requests, ensuring performance from MVP to scale.
We operate as an extension of your engineering team, focusing on long-term maintainability and ROI.
03 — Founder & Team
VectaStack was founded by engineers with experience building SaaS products, cloud-native systems, distributed architectures, and AI-powered applications. Our background spans full-stack development, platform engineering, workflow automation, and production-scale software delivery.
04 — What we build
Every engagement ships with documentation, tests, evaluation harnesses, and deployment automation owned by your team.
Tool-using agents with deterministic guardrails, structured outputs, and evaluation harnesses you can trust in production.
Retrieval pipelines tuned for recall and latency — hybrid search, reranking, and grounded answers over your private corpora.
Long-running, fault-tolerant workflows that orchestrate models, APIs, and humans across business-critical processes.
Multi-tenant platforms with auth, billing, audit trails, and AI built in — shipped on schedules enterprise teams expect.
05 — What we work
We partner with teams that require high-rigor engineering to turn AI potential into operational reality:
Building AI-first products that require scalable, proprietary IP
Automating complex internal workflows to reduce manual operational friction.
Modernizing existing processes with intelligent, observable AI-driven pipelines.
validating and scaling AI-driven ideas into production-ready platforms