▶Chris Karr
Former CTO at Identiv
AI-native software development · nearshore since 2003
Senior judgment.
Agent speed.
An agent fleet ships the work. Senior engineers own every gate. You get the team next week, in your time zone.
23+
Years
250+
Engineers
150+
Historical clients
The offering
AI-Native
Development Pod.
One unit of delivery. Agents carry spec, plan, implementation, review and deploy. Senior engineers own the gates, the release and the risk.
● Process management
Observability, KPIs, cost and runtime control.
● Context Engineer
One context store the whole pod works from.
● Agent Orchestrator
Runs the fleet and validates checkpoints.
Spec→Plan→Implement→Review→Deploy
● Release Engineer
Owns quality gates, releases and production.
● Security Engineer
Threat review and compliance from spec to release.
Every cycle ships
Rock-solid, scale-ready software.
Proof
Hear it from the
CTOs themselves.
Unscripted, from their own channel. The people who handed us a roadmap talking about what came back.
▶
▶David Anderson
Venture MLS partner, LionDesk founder
▶Charles Gillespie
Founder and senior advisor at Semantic AI
▶Marc Mendez
VP information technologies at TraPac
▶Cole Davisson
VP software innovation at Ambry Hill Technologies
▶Dani Heileman
Product owner at Streamlign
“When I brought ArkusNexus onboard we were able to advance our development by three-fold, and that allowed me to focus on other things like Business Development.”David Anderson · Founder, LionDesk
“The companies I have founded have used ArkusNexus to do a large portion of development, and we’ve found the nearshoring experience really beneficial.”Charles Gillespie · Founder, Semantic AI
For founders and CTOs
Point us at the
backlog you
already have.
The pod starts on your real roadmap, in your repos, and you can verify what moved in week one. Senior engineers already working agent-first, in your time zone, next week.
Ramp in days
not months
The roster is already hired and trained, so a pod staffs while a recruiter would still be sourcing.
Your working hours
full overlap
USA, Mexico and Colombia. Same-day review cycles, live escalation, no overnight handoff.
Fixed monthly
never hourly
One price per person per month, set before the month starts.
The people
250+ engineers, already
hired and trained.
Every gate on the pipeline has a name on it. These are the people you meet on the call, not the ones you get after a hiring cycle.
Josh Arceo
Context Engineer
15 years here
Oscar De la Lanza
Agent Orchestrator Engineer
3 years here
Leo Martinez
Agent Orchestrator Engineer
5 years here
Pre-hire and vet
Engineers are hired and vetted before a project needs them.
Technical training
In-house training on modern stacks, agent tooling and delivery practice.
Cultural and comms workshops
Built for U.S. work environments: written communication and direct escalation.
AI-empowered engineers
Every engineer works with agents daily. The pod model is how we productize that.
The stack
We speak your language,
agents included.
From .NET to Node and Ruby to React, English included. Model choice is outcome first: Claude, GPT or Gemini, wired to your systems through MCP.
● OpenAI● Claude● Gemini● Perplexity● LangChain● Haystack● Replit● n8n
Models
OpenAI GPT · Gemini · Perplexity
Agents & orchestration
Claude Code · Haystack · n8n · Copilot Studio
Platforms
AWS · MS Azure · Vercel · Supabase · Azure ML
Insights
What we are writing about.
INSIGHTS
Nearshore Software Development Companies in 2026: How to Evaluate Them in the AI Era
SEP 12, 2025 · 5 MIN READ
INSIGHTS
How to Measure AI-Enabled Engineering Teams: A CTO’s Metrics That Actually Matter
AUG 15, 2025 · 5 MIN READ
INSIGHTS
Software Development Cost: A 2026 Breakdown
JUL 08, 2025 · 5 MIN READ