G
4.9 out of 5 ★★★★★

Fractional AI Engineers
for your business

Hire pre-vetted, highly autonomous AI engineers who start in days, scope the work, and build.

Talk to one of our engineers Discuss one of your workflows or ideas
25+ Actively deployed AI Engineers
working with our customers
50+ Businesses scaling with Near
across sales, ops, marketing & finance
Milestone

Clients
Love Us

★★★★★
Winter 2026

High
Performer

Spring 2026

High
Performer

// sound familiar?

You're probably in one of these situations.

  • ×Your goal for the year is to implement AI across the business — but you don't know where to start.
  • ×You're watching competitors move faster and don't want to fall behind.
  • ×Your team already knows where the bottlenecks are — but no one has the technical skills to build the fix.
  • ×A full-time AI engineer doesn't make sense right now. The workload isn't there yet.
  • ×Every agency or consultant you've talked to is either too slow, too expensive, or doesn't fit your workflows.

// the fix

An engineer embedded in your team

  • Starts building in 2–3 days.
  • Scopes the work with you.
  • Builds inside your existing stack.
  • Ships automations your team keeps.
  • Starts from 20 hrs/month.
  • No long-term commitment.
// how it works

How it works

1

30-min call with one of our engineers

Not a sales call. They ask the right questions, listen to how your team operates, and tell you exactly what they'd build — before you commit to anything.

Free
2

We identify the highest-impact bottleneck

You map out where your team is losing the most hours. If there's a team lead who owns the workflow, loop them in — the engineer works directly with whoever is closest to the problem.

3

You buy a package of hours

No long-term commitment. Buy the hours you need and use them for the work you agreed on. Most companies start with a 40-hour block — enough to get a working tool live and see the impact before adding more.

Pay as you go
4

Your engineer embeds with the team

They start in 2–3 days. They work in your stack, alongside whoever owns the workflow, and build. You review the output, not the process. Everything they build is yours to keep.

Starts in 2–3 days
// what we build

What Near engineers build across your teams

Problem
Solution
×Sales is logging deals manually and following up on stale pipelines by hand.
CRM automation + follow-up agents.

Deals update automatically. Follow-ups go out on time. Pipeline stays clean.

×Nobody can find SOPs, client info, or past decisions. Everything lives in Slack and email.
Centralized knowledge base.

One place for SOPs, client info, and internal docs. Anyone gets instant answers instead of asking someone.

×Marketing briefs and campaign reports rebuilt from scratch every cycle.
Creative and reporting workflows.

Brief generation automated. Campaign reporting pulls from your existing data. No manual reformatting.

×Onboarding takes a week of back-and-forth. Nothing is consistent across hires.
Onboarding workflows.

New hires get everything they need on day one, automatically. No chasing, no gaps.

×Finance spends hours on data cleanup and reconciliation every month.
Automated reconciliation and data workflows.

Data cleans and reconciles before it reaches your team. Reporting generates itself.

×Support tickets routed manually. Response time is inconsistent. Nothing is tracked.
Ticket routing and response assistants.

Tickets go to the right person automatically. Responses drafted. Nothing falls through the cracks.

Why Our Clients
Choose Near

Talk to one of our Engineers
Near engineers across Latin America

Pre-vetted, highly trained engineers.

We leverage our local market expertise across Latin America to identify and screen the best AI engineering talent. Every engineer is vetted for technical depth, communication, and autonomy — with a proven track record to back us up.

// vs alternatives

Four ways CEOs try to solve this. One that ships.

Full-time AI hire

$150K–$180K/year

You need 40 hours a week of focused AI work to justify it. Most companies at your stage don't have that yet — and by the time you do, you've already lost months.

Near

Start at 40-hour package. Pay for hours worked.

Start next week. Add hours as you go. Stop when you want.

AI agency

Months before anything ships

Scoping alone takes 2–3 months. Working software doesn't arrive until month four or five — if it matches your workflows at all.

Near

Engineer starts in 2–3 days

They scope the work and build at the same time. Your team lead is involved from day one.

Off-the-shelf tools

Built for average workflows, not yours

Tools need a builder behind them to actually work. Without one, you customize around the tool instead of the tool fitting your process — and nothing sticks.

Near

Built on your stack, for your workflows

Your data stays where it is. No new platform to learn. No migration. The engineer builds the system, not just recommends the software.

Doing it in-house

Good ideas, no follow-through

Your team doesn't have the bandwidth or the AI skillset. The automations stay on the roadmap while manual work keeps piling up.

Near

One dedicated engineer, fully autonomous

They scope, they build, they ship. You don't manage the process — you review the output.

// common questions

FAQ

What have other businesses built with Near engineers?+

CRM automation and follow-up agents for sales teams, centralized knowledge bases for ops and support, automated onboarding workflows, marketing brief generation and campaign reporting tools, and finance reconciliation and data cleanup workflows. Most companies start with whichever of these is costing the most team hours right now.

Do I need to manage the engineer? I don't have time for another contractor.+

The engineer embeds with whoever on your team owns the workflow — your ops lead, your sales manager, whoever. They work autonomously and surface the output to you. Most of our clients spend less than an hour a week on oversight.

We've tried tools before and nothing stuck. Why is this different?+

Tools need a builder behind them to actually work in your context. A Near engineer doesn't just recommend software — they build the system: connecting your existing tools, mapping your actual workflow, and shipping something your team can use immediately. What gets built is yours to keep.

We're not big enough for this yet, are we?+

This is exactly when to build the foundation. The manual work that's manageable at 30 people becomes a real constraint at 80. Companies that automate early scale without adding headcount to every team. The ones that wait end up hiring ops generalists to manage spreadsheets.

Can we stop anytime? What are the commitment and package options?+

You buy a package of hours based on what you need. There's no long-term contract. Use the hours, see what gets built, and decide from there.

What's the average engineer background — experience level and tech stack?+

Our engineers have several years of software and automation experience, including the AI and workflow automation layer on top — Claude, ChatGPT, n8n, Make, Zapier, and Python. They're fluent in the tools most growing businesses already run: CRMs like HubSpot and Salesforce, project tools like Notion and Airtable, and communication stacks built on Slack and Google Workspace.

Can clients hire the engineer full-time?+

Yes. You can start with a package or two to see how the engineer works with your team. If it's a good fit, you can convert them to a full-time hire. A lot of our clients go that route.

// what clients say about near engineers

What teams say after hiring a Near engineer

AI Engineer

The engineers Near provided are incredibly high quality. I worked at Google for 10 years, where the bar for talent is very high, and I would say the people I placed through Near are comparable to the people I worked with at Google.

Ashley Black

Ex-Head of Sales @ Google
Founder, Candid Consulting

AI Engineer

Near was a game-changer for our business. We increased lead generation by 100% with automations built by talent we hired through Near.

Sumner Vanderhoof

Co-founder & CEO
Propensity

AI Engineer

Near has allowed us to nearly double our caseload without doubling our in-office staff.

Kathy Patterson

Operations Manager
California Consumer Attorneys

Ready to build?

Book a call. Tell us which team is losing the most hours right now — or loop in the team lead who owns the workflow. We'll tell you exactly what we'd build.

Talk to one of our engineers