AiQubit — AI Agents, Enterprise AI Automation, Custom AI Applications & Quantum Research
AIsystemsengineered
forthefuture.
We design intelligent agents, enterprise AI platforms, and advanced automation systems built for real-world scale.
Principles we hold, before a single line of code is written.
AiQubit is a new engineering studio. We are deliberately small, founder-led, and selective about the systems we take on.
Every prototype is shaped by what it takes to run safely in production — not the other way around.
Tracing, evals, and audit trails are built into every workflow we ship — never bolted on later.
Frontier APIs, open-weight models, or your private deployment — we route to what fits your constraints.
Every agent ships with task-level success criteria and regression evals — not vibes.
VPC deployments, BYO-key, PII redaction, and field-level encryption are the baseline, not an upsell.
We are operators who write code. Engagements ship working systems with handover docs and on-call.
Engineering capabilities for serious AI work.
Everything you need to ship AI in the open.
Planner → tool-use → verifier nodes wired through a typed graph with deterministic rollbacks.
The dimensions we measure on every shipped agent — baselined per task, tracked on every model bump.
Episodic + semantic memory with deterministic retrieval.
Embed agents inside your app with streaming UI, function calling, and human-in-the-loop guardrails.
Engineering pipeline,
end to end.
From integration to evaluation, every layer is measured. This is how AiQubit ships intelligent systems that actually run in production.
We integrate with your systems of record — CRM, data warehouse, internal APIs, knowledge bases.
Specialized agents are composed into reliable workflows with planning, memory, and tool use.
Every node is observed, evaluated, and traced. Quality is a number, not an opinion.
Hardened infrastructure with SOC 2-ready controls, audit trails, and human-in-the-loop guardrails.
Observability is not optional.
This is the operations surface every system we ship comes with — traces, evals, cost, and rollback paths instrumented from the first commit. The screen below is a reference layout, not a live customer feed.
- Trace coverageEvery span
- Eval targetPer task
- Rollback budget< 30s
- Audit retentionConfigurable
Agents that don't just respond — they execute.
One platform. Twenty production-grade primitives.
Every agent we ship is composed from the same hardened set of primitives — battle-tested across regulated workloads, real-time ops, and customer-facing copilots.
A full-stack toolkit for production AI.
We're model and infra agnostic. We pick what serves your latency, cost, and privacy envelope — and own the integration.
- GPT-5
- Claude 4.5
- Gemini 2.5
- Grok 4
- Llama 4
- Mistral L
- LangGraph
- CrewAI
- AutoGen
- DSPy
- Letta
- OpenAI SDK
- Pinecone
- Weaviate
- pgvector
- Qdrant
- Turbopuffer
- Mem0
- Cloudflare
- AWS
- Vercel
- Modal
- Fly.io
- Kubernetes
- Braintrust
- LangSmith
- Helicone
- Arize
- Datadog
- OpenTelemetry
- Snowflake
- Databricks
- Airflow
- dbt
- Kafka
- Temporal
Exploring the next frontier of intelligence.
We are actively researching quantum-enhanced computational systems and future-ready architectures for emerging AI workloads.
- Variational quantum circuits
- Hybrid classical-quantum models
- Tensor network inference
- Quantum-inspired optimization
Systems we are built to ship.
These are reference architectures — the systems we are ready to design and deliver. Not claims of past customers.
We are new — so we put it in writing.
Most AI agencies sell trust with logos. We do not have logos yet. What we have is a clear, written commitment to the teams we work with.
Every engagement is run by a founding engineer — not handed off to juniors.
If we miss a milestone we defined together, that milestone is refunded. No invoices for slideware.
All code, prompts, evals, and infrastructure are yours — delivered in your repos, on day one.
We do not publish customer names, logos, or screenshots. Discretion is the default.
Every shipped system comes with a regression eval suite you can run yourself. Quality is auditable.
After 14 days you can end any engagement, keep everything we have built, and we walk away cleanly.
Three ways to work with us.
From a focused pilot to a fully embedded engineering pod — every engagement ships measurable systems.
Pilot
2–4 weeksA focused proof-of-value. We ship a working prototype against your real data and your real constraints.
- Scoped use-case discovery
- One production-ready workflow
- Eval harness + baselines
- Architecture brief you keep
Build
8–14 weeksEnd-to-end build of an agent system or AI platform — designed, evaluated, and rolled out to production.
- Multi-agent orchestration
- Observability + evals suite
- Hardened integrations
- Production rollout + on-call
- Team enablement
Embedded
QuarterlyA senior AI engineer embedded with your team as an extension of your roadmap.
- Dedicated engineering pod
- Quarterly delivery cadence
- Architecture & hiring support
- Research access
- Priority response
Field notes from the build.
Questions, answered.
We are an engineering company. We ship production systems with evals, observability, and ownership — not slide decks.
Build intelligent systems that scale.
From first prototype to enterprise rollout — engineered with the rigor your business deserves.