Engineering for the exceptional.

AI-native systems. Full-stack execution. Delivered with precision.

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Who We Are

Daswolf is an elite engineering consultancy led by Zac (ZVS). He is a seasoned founder and systems architect with a decade of experience building complex, high-impact products across fintech, AI, SaaS, operational tooling, and hardware-integrated systems.

We operate like a specialized technical strike unit. Focused, highly technical, fast, and fully accountable for the systems we build.

A Message from our Founder

Across my career, I've built systems that sit at the core of a business, whether they are underwriting engines, machine learning platforms, collaborative editors, CRMs, revenue tools, or AI-driven workflows.

At Clearco, I took products from zero to scale and engineered the platforms that powered underwriting and decision-making for billions in transaction volume as the company grew into a unicorn. In later ventures, I led full-stack engineering for fundraising platforms, internal tooling, and AI-enabled applications.

What I've learned is simple: the products that matter most require end-to-end thinking. Architecture, data, backend, frontend, AI, and integrations all have to be designed as one cohesive system, not stitched together.

Daswolf exists for companies that need this caliber of engineering. We build with clarity, speed, and a commitment to outcomes. No layers. No bloat. Just systems built right from day 1.

— ZVS

What We Do

Applied AI Engineering

We design and build real AI systems that run in production. Retrieval workflows, automation, ML pipelines, and intelligent internal tools. Everything is built with reliability, scale, and measurable impact in mind.

Full-Stack Product Development

We take products from concept to production with clean frontend development, robust backend services, cloud architecture, and data workflows. Every layer is engineered by senior hands with a focus on speed and clarity.

Hardware and Systems Integration

We bridge the physical and digital world. Embedded devices, kiosks, sensors, Raspberry Pi systems, and edge computing that connect seamlessly into your cloud environment. Complex systems made dependable.

Featured Clients

We partner with companies building complex, high-impact products across fintech, AI SaaS, revenue operations, and internal tooling. The examples below illustrate the range and depth of systems we engineer.

Canonical Labs

Canonical Labs builds AI-native risk and fraud intelligence for Stripe merchants.

We built the client-side SDK that powers their real-time fraud enrichment at checkout, delivering device intelligence and risk signals directly into Stripe Radar.

Ven Studio

Ven Studio builds modern revenue operations systems that help sales and GTM teams run efficiently.

We built the core HubSpot integrations, data pipelines, and automation layers that support their workflows and quota-driving processes.

Complainer

Complainer is an internal incident and feedback triage platform used by fast-moving engineering teams.

We built the AI-enabled prioritization engine and the product foundation, allowing teams to surface, rank, and act on internal issues with clarity instead of noise.

Where We're Most Valuable

We excel when systems need to be built right from the start—when the architecture, data flow, and integrations can't be retrofitted later. These are the domains where our end-to-end approach delivers the most impact.

Fintech and payments

When transaction volume and risk decisions happen in real-time, you need systems designed for scale from day one. We build Stripe-integrated data systems, decisioning interfaces, and intelligent client-side infrastructure that handle billions in volume without breaking.

AI-enabled SaaS platforms

AI features that actually work in production require tight integration between retrieval workflows, automation, and backend systems. We design these as one cohesive system—not AI bolted onto existing infrastructure.

Revenue operations technology

When sales teams depend on CRM integrations and data pipelines to hit quota, reliability isn't optional. We build the core integrations, automation layers, and operational tooling that revenue teams actually trust.

Internal developer and operational tools

Tools that engineers and ops teams use daily need to reduce noise, not add to it. We build platforms that unify telemetry, incident reporting, and prioritization—surfacing what matters instead of drowning teams in alerts.

How We Work

Initial Conversation (Complimentary)

We meet for a short call to understand your goals, constraints, and technical landscape. No selling. No pressure. Just clarity on whether we're the right team for the job.

Book a call now

Technical Assessment

If there's a fit, we review your existing systems, data, and requirements. We identify risks early and outline what success looks like in measurable terms.

Project Plan and SOW

We prepare a detailed project plan, timeline, and Statement of Work. This includes architecture notes, milestones, and clear expectations so no one is guessing.

Kickoff and System Design

Before writing code, we finalize architecture, data flow, and integration points. This ensures the entire build is cohesive and reduces downstream complexity.

Build and Iterate

We work in short, focused cycles with direct communication. You talk to the engineers doing the work, not a middle layer. Progress is visible and predictable.

Delivery and Integration

We deliver production-ready systems with clear documentation, testing, and integration support. Our goal is clean handover without lingering dependencies.

Long-Term Support (Optional)

We offer ongoing engineering support or periodic check-ins to ensure the system scales, evolves, and continues delivering value as your product grows.

Start your project with us

Tell us what you're building and we'll put together a clear, actionable plan.

Schedule a complimentary intro call

We reply within one business day.

No obligation. No pressure.

Serious projects only.