Services

What we build. And how it fits what you already run.

Vectrel offers seven AI and software services: AI Strategy & Consulting, Custom AI Development, Full-Stack Web & SaaS, Workflow Automation, Data Engineering, AI Training & Fine-Tuning, Ongoing Support. Most projects combine two or three. Every engagement is scoped to your specific problem, not sold as a package.

We pin down which services you actually need during discovery, once we understand the workflow, your data, and what it has to connect to.

Capabilities

Seven services. Each one scoped to a real workflow, not a package.

01

Custom AI Development

AI systems that read your documents and data into structured records your team can act on

Built for a specific job, when off-the-shelf tools do not fit.

Explore Custom AI

02

AI Strategy & Consulting

Score each workflow for AI value, then rank what to build first

A standalone assessment, or the discovery phase of a larger build.

Explore AI Strategy

03

Workflow Automation

Route repetitive work automatically, and send the exceptions to a person for review

For the high-volume, rule-based work that drains your team's week.

Explore Automation

04

Data Engineering

Unify scattered sources into one canonical model for reporting and AI

Often the groundwork a reliable AI system needs first.

Explore Data Engineering

05

AI Training & Fine-Tuning

Benchmark prompting, retrieval, and fine-tuning on your data before you pay to train

For domain work where general models fall short; we train only when it earns its cost.

Explore AI Training

06

Full-Stack Web & SaaS

Web applications and SaaS platforms, engineered from the database up, not the demo down

Marketing sites, internal tools, and products; with or without AI.

Explore Web & SaaS

07

Ongoing Support

Keep production systems monitored, patched, and supported long after launch

Defined coverage after go-live, for systems we built or inherited.

Explore Ongoing Support

Combined work

Most projects combine two or three services. We build them as one.

AI rarely stands alone. A custom AI build often starts with a strategy phase, needs data engineering to get your data ready, and adds ongoing support after launch.

Discovery decides which services belong in scope. When several do, you get one team, one plan, and one point of accountability, not a handoff between vendors.

FAQ

Frequently asked questions

  1. 01

    What services does Vectrel offer for Custom AI Systems?

    Vectrel offers seven services covering the full delivery lifecycle: AI Strategy & Consulting, Custom AI Development, Full-Stack Web & SaaS, Workflow Automation, Data Engineering, AI Training & Fine-Tuning, Ongoing Support. Most engagements combine two or three of these into a single scoped build.

  2. 02

    Who are Vectrel's services for?

    Vectrel works with mid-market and enterprise operators who have real workflows, real data, and a specific problem that AI should be solving. Typical clients are founders, operations leaders, and technical stakeholders at companies with five to five-hundred employees who need production systems, not demos or slide decks.

  3. 03

    How does a Vectrel engagement work?

    Every engagement starts with a discovery call to scope the problem, followed by a strategy phase that produces a concrete roadmap. Build phases ship working software in iterative milestones with direct access to the engineer writing the code. Ongoing support is available after launch for teams that want continuity rather than a handoff.

  4. 04

    How much does a Vectrel project cost?

    Engagements scope to the build, typically ranging from a few weeks for advisory work to multiple months for full-stack AI systems. Pricing reflects complexity, data readiness, and integration surface area rather than headcount or hours. We share a concrete estimate after the discovery call, once the scope of work is understood.

  5. 05

    Which services do clients typically combine?

    Most engagements pair AI Strategy & Consulting with Custom AI Development, then add Workflow Automation or Data Engineering depending on the system's weakest link. Clients building new user-facing tools usually add Full-Stack Web & SaaS. Ongoing Support is common for teams running AI in production beyond launch.

Not sure which services you need?

That is exactly what discovery is for. Tell us the problem; we will map it to the right work.