AI Engineering
Systems & Intelligence
Designs and operates production AI systems with model routing, prompt control, agent orchestration, and measurable decision integrity.
About Pulse
Engineering production AI systems for organizations that operate under pressure.
We are a US-focused AI and healthcare technology company. We convert complex operational problems into durable LLM, RAG, and agent-driven systems with architecture-level controls.
Why We Exist
Make intelligence useful,
secure, and operational.
Healthcare providers, health systems, digital health companies, and enterprises need systems that improve decisions—not more novelty. Pulse exists to engineer that layer.
How We Think
An architecture-first AI engineering philosophy.
We treat AI as critical infrastructure—not feature theater.
01 Start with decision architecture: workflow boundaries, failure modes, and accountability paths.
02 Design data models, LLM services, RAG retrieval, and application logic as one cohesive system.
03 Prioritize reliability targets, privacy controls, and operational clarity for US environments.
04 Enforce responsible agent behavior with policy gates, approval checkpoints, and human escalation paths.
How We Engineer
Intentional builds. Durable systems.
01
Clarity before code
Define decision scope, system constraints, stakeholders, and measurable service-level outcomes first.
02
Architecture before ambition
Shape platform boundaries that absorb model, prompt, and toolchain change without architectural fragility.
03
Evidence before scale
Validate LLM output quality, retrieval precision, and agent action safety in real workflows before scaling.
04
Ownership before handoff
Keep delivery ownership, security controls, and operational accountability explicit across teams.
Teams
Specialists who build systems that last.
Pulse is organized around the disciplines required to deliver AI and healthcare technology with clarity, security, and ownership.
Healthcare Technology
Clinical & Operations
Shapes digital health platforms, workflow intelligence, and care operations software aligned to US clinical and regulatory operating realities.
Data & Platforms
Architecture & Integration
Engineers secure data systems, integration APIs, and cloud platform foundations that keep intelligent applications reliable and observable.
Delivery & Oversight
Execution & Trust
Owns release discipline, privacy controls, risk governance, and responsible AI operations across every engagement.
What We Believe
Short convictions. Long consequences.
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01
Build for US healthcare and enterprise realities—not demos.
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02
Treat AI, LLM, RAG, and agentic orchestration as platform infrastructure with explicit reliability and governance requirements.
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03
Protect sensitive data by design, with clear ownership and controls.
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04
Keep humans accountable wherever judgment carries consequence.
Next step
Bring us a hard problem.
Complex. Consequential. Needs durable engineering for US healthcare or enterprise realities.