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Velocity Tech Inc
AI-first engineering · Dallas–Fort Worth

Most AI projects
die in the demo.
We build the ones that ship.

Grounded in your data. Measured, not asserted. Yours to own.

Stack
Java Spring Boot AI / ML Angular Apache Spark Docker SQL MongoDB AWS Azure GCP Kubernetes Python React Node.js
Roles we place
Developer Software Engineer Data Engineer QA & Testing Business Analyst Workday Consultant
The gap

A demo is not a system.

Wiring a model to a prompt takes an afternoon. Everything after that is engineering — and it's where most projects quietly stall.

tenant: acme-logistics
Grounded response
Customer
What's the penalty if we cancel a scheduled pickup inside 24 hours?
Assistant
Cancellations inside 24 hours are billed at 40% of the quoted rate. Cancellations made earlier are not charged. Weather-related cancellations are exempt under the force majeure clause.
terms_v4.pdf · §7.2 sla_2026.docx · §3
Retrieval pipeline
Embed & search 42ms
pgvector · scoped to tenant · top_k 8
Confidence gate 0.87
above threshold — proceeding
Generate + cite 1.1s
every claim mapped to a source
2 citations verified
Built in-house

We run our own business on this.

Velocity is a consultancy and a recruitment agency. The AI running both is software we wrote ourselves — which is where the practice comes from, and why we're careful about what we promise.

Talent Pipeline

Jobs, candidates, scheduling and prep in one place. It runs our own recruitment desk.

The challenge

A single req sprawls across four tools — postings in one, resumes in a mailbox, interviews in a calendar, prep notes in somebody's head. Nothing reconciles, and the strongest candidate accepts elsewhere while you're still trying to find a slot.

What it does about it
  • Tracks every opening in one place, and pulls matching roles off job boards on a schedule
  • Reads and scores each applicant against the actual requirement, with its reasoning shown
  • Books the interview and keeps the whole panel in sync
  • Writes the prep sheet — background, gaps, questions to ask — before the call
Senior Data Engineer · open 9 days
312
Applied
48
Screened
12
Interview
3
Offer
D. Osei
Airflow, dbt, Snowflake · 7 yrs
94
M. Halvorsen
Spark, Kafka · 9 yrs
88
J. Whitfield
No pipeline experience
22
D. Osei · technical round THU 14:00
Panel: R. Mehta, S. Delgado · 60 min
Prep sheet drafted from CV and job spec ready
The engagement

Four stages. Stop after any of them.

Roughly twelve weeks end to end. You keep everything produced up to the point you stop.

01 / WEEKS 1–2

Discover

We map the workflow and what an error costs, then rank the opportunities — including the ones to skip.

02 / WEEKS 3–6

Prototype

A working prototype on your real data, plus the evaluation set we'll judge it by.

03 / WEEKS 7–12

Harden

Guardrails, access control, PII handling, cost and latency budgets, security review.

04 / ONGOING

Operate or hand over

We run it as your data drifts — or hand it over with docs and training.

Read what happens week by week
What we do

AI at the centre. Engineering all around it.

AI & LLM engineering

Retrieval assistants, agentic workflows and structured extraction — with evals and guardrails.

RAGAgentsEvals

Document automation

Contracts, invoices and claims into structured data — with confidence scores and a review queue.

OCRExtraction

Custom software

Web platforms, internal tools and APIs, built by engineers who use AI throughout the process.

WebAPIs

Data & platform

Pipelines, warehouses and vector stores — the groundwork every AI system depends on.

PipelinesCloud

Staff augmentation

Vetted, AI-fluent engineers embedded in your team — introduced in days, not weeks.

ContractC2H

Enterprise solutions

Velocity ERP for operations past spreadsheets, plus security compliance assessments.

ERPCompliance
AI-augmented delivery

We don't just build with AI. We build using it.

AI tooling runs through our own process — which is why a small senior team covers ground that used to need a much larger one.

  • A named engineer signs off. AI accelerates the work; it doesn't approve it.
  • Your code stays yours. Your repos, your policies. No client code trains a model.
  • Faster feedback. Scope gets settled by evidence, not meetings.
sprint 14 · delivery log
ChangeReviewerTestsState
Tenant isolation on searchR. Mehta42/42merged
Citation span mappingA. Okafor18/18merged
Confidence threshold tuningR. Mehta31/31merged
PII redaction in logsS. Delgado9/11in review

Want a second opinion?

Thirty minutes with an engineer, not a salesperson. Bring the workflow you're trying to fix and we'll tell you honestly whether AI is the right tool.

Get in touch

Let's talk.

Tell us about the problem. We reply within one business day.