IT Staff Augmentation Services
IT Staff Augmentation is the on-demand placement of pre-vetted AI, ML, and software engineers inside a client's existing team and workflow, replacing 3-to-6-month hiring cycles that leave product roadmaps blocked. Kodexo Labs deploys specialist talent in 10 business days, with 51 production products shipped and 94% talent retention.
TRUSTED BY ENTERPRISES
IT staff augmentation at Kodexo Labs embeds pre-vetted AI/ML, full-stack, mobile, and DevOps engineers into your product team, sprint-ready within 10 business days, backed by 51 products and 94% client retention.
Our Core Capabilities:
On-demand access to pre-vetted AI/ML, full-stack, and DevOps engineers, embedded directly into client teams.
Engineers on-site (remote or in-person) within 10 business days.
94% talent retention rate across all active engagements.
51 production products shipped across AI, SaaS, fintech, and edtech verticals.
Extensiv agentic query layer hit 90%+ SQL accuracy across 207 tables
Dedicated embed, two-week paid trial, or flex scaling on demand.
IN THE NEWS
Outcomes the proof bar will defend
AI-powered products
AI Development Company · Verified on Clutch
Client Retention Rate
Industries
Team across 6 offices, 3 countries
Founded in Austin, TX · Agile sprints · weekly demos
Six Engineering Disciplines, One Pre-Vetted Bench, Every Sprint Cycle
A VP of Engineering at an Inc. 5000 logistics platform has three roles open for nine weeks, a roadmap commitment that ships in six, and a hiring funnel that keeps surfacing generalists. The six disciplines below come from one pre-vetted bench at Kodexo Labs, so the scoping call, the shortlist, and the first embedded sprint all land on a single timeline.
Hire AI/ML Engineers
Model builds, LLM orchestration, and agentic pipelines shipped to production inference by AI engineers who tune accuracy to your thresholds, not lab checks.
LLM orchestration and agentic pipelines shipped to production inference
Model evaluation and accuracy tuning against client production thresholds
Every Sprint Spent Searching Is A Sprint Forfeited
Scope the role brief with Kodexo Labs and a vetted shortlist lands in ten days.
Custom software built for production speed
Extensiv
Extensiv's operations team waited on engineering for every data question. Kodexo Labs embedded an AI pod that built a LangGraph agentic query layer across 4 databases, so operations self-serves in plain English.
90%
SQL accuracy
207
Tables Accessible
04
Databases
SmartMedHx
SmartMedHx needed compliance-aware AI engineers fast. Kodexo Labs embedded a dedicated pod covering AI/ML and DevOps, building the HIPAA-compliant pipeline with audit logging and a hardened AWS VPC.
42+
Providers
493
Patient Interviews
40%
Faster Interviews
HIPAA
Compliant
Teacher AI
Teacher AI needed full-stack and AI engineers to scale multilingual tutoring without splitting into separate squads. Kodexo Labs augmented the team across TypeScript, React, Node.js, and Flutter on a unified sprint cadence.
50,000+
Users
30+
Countries
07
Langauges
The custom software development company mid-market teams trust.
Verified client quotes from a custom software development partner mid-market CTOs and founders return to between engagements.
Kodexo
Labs
built
an
agentic
system
that
reads
plain-English
questions
and
answers
them
from
our
full
operational
database.
The
ops
team
self-serves
now,
with
90%+
accuracy
across
207
tables
and
4
databases.
The
build
came
in
on
time
and
the
team
understood
the
warehouse
domain
better
than
most
of
our
internal
hires.
Brant Snow
Director of Engineering · Extensiv
WATCH VIDEO
Industries Where Kodexo Labs Has Shipped AI Inside Named Client Teams
A healthcare VP rolling out clinical AI across 42+ providers does not want the vendor's first healthcare engagement. Each tab below names the production system Kodexo Labs shipped and the proof anchor a buyer verifies before a shortlist call.
- AI/ML Engineers for Clinical AIDevOps Engineers for HIPAA ArchitectureMLOps Engineers for Production AIPython Engineers for Retrieval Pipelines
Unvetted Engineers Cost The Most After They're Already Embedded
Kodexo Labs maps compliance requirements (HIPAA where it applies) and runs coding assessment, system design interview, and culture-fit evaluation before any engineer joins a client team.
Custom software built to your compliance perimeter from sprint one.
Inside regulated industries, a final-phase audit cannot save a compliance gap baked into the data model on day one. Kodexo Labs treats HIPAA, GDPR, SOC 2 Type II, CCPA, and PCI-DSS as architecture decisions that pass the AI Security, Governance and Compliance gate every time.
What Sets Kodexo Labs Apart From Commodity Staff Augmentation Vendors On Retention
A growth-stage CTO comparing staff augmentation vendors wants three answers: are engineers vetted, are they AI-native, do they stay. Kodexo Labs sustains 94% client retention because vetting, talent depth, and compliance-mapped placements are engineered together.
Vetted Before Sprint One
Kodexo Labs vets every engineer on coding assessment system design and culture fit before client placement so engineers ship from sprint one.
Six Disciplines, One Pod
Kodexo Labs talent spans AI/ML Python full stack mobile MLOps and DevOps every engineer shipping production AI not experimenting with Extensiv as proof.
Talent That Simply Stays
Kodexo Labs holds 94% client retention because placed engineers embed as delivery hires not short-term temps proven across 51 AI products shipped.
Recognised By The Platforms That Vet AI Companies
Kodexo Labs is reviewed where technical buyers do their diligence: Clutch and Upwork. Every badge below links to the live profile.
Vetted Toolchain Partners
Every platform below forms part of technical vetting requirements established before any engineer is positioned into the client engagement, so vendor-risk reviews originate from a pre-cleared toolchain rather than a green-field assessment, with tool depth validated at practitioner level.
AWS
Google Cloud Platform
Microsoft Azure
Hugging Face
Apache Software Foundation Logo
Datadog
PagerDuty
GitHub
TensorFlow (Google)
Docker
Kubernetes (CNCF)
React (Meta)
AWS
Google Cloud Platform
Microsoft Azure
Hugging Face
Apache Software Foundation Logo
Datadog
PagerDuty
GitHub
TensorFlow (Google)
Docker
Kubernetes (CNCF)
React (Meta)
AWS
Google Cloud Platform
Microsoft Azure
Hugging Face
Apache Software Foundation Logo
Datadog
PagerDuty
GitHub
TensorFlow (Google)
Docker
Kubernetes (CNCF)
React (Meta)
AWS
Google Cloud Platform
Microsoft Azure
Hugging Face
Apache Software Foundation Logo
Datadog
PagerDuty
GitHub
TensorFlow (Google)
Docker
Kubernetes (CNCF)
React (Meta)
AWS
Google Cloud Platform
Microsoft Azure
Hugging Face
Apache Software Foundation Logo
Datadog
PagerDuty
GitHub
TensorFlow (Google)
Docker
Kubernetes (CNCF)
React (Meta)
AWS
Google Cloud Platform
Microsoft Azure
Hugging Face
Apache Software Foundation Logo
Datadog
PagerDuty
GitHub
TensorFlow (Google)
Docker
Kubernetes (CNCF)
React (Meta)
AWS
Google Cloud Platform
Microsoft Azure
Hugging Face
Apache Software Foundation Logo
Datadog
PagerDuty
GitHub
TensorFlow (Google)
Docker
Kubernetes (CNCF)
React (Meta)
AWS
Google Cloud Platform
Microsoft Azure
Hugging Face
Apache Software Foundation Logo
Datadog
PagerDuty
GitHub
TensorFlow (Google)
Docker
Kubernetes (CNCF)
React (Meta)
Day-one production stack for every placement
A VP of Engineering needs the production tool stack, not a marketing taxonomy.
Every sprint spent recruiting is a sprint not shipping.
Kodexo Labs scopes the role brief, vets the shortlist, and runs the trial sprint while the internal hiring pipeline stays open, so product velocity does not stall while the role is being filled.
Three ways CTOs scale engineering capacity without a vendor handoff
The right engagement depends on your current headcount, sprint cadence, and how fast the skill gap needs to close
Dedicated Team Embed
Extensiv runs its 207-table agentic query system with a dedicated Kodexo Labs pod delivering 90% SQL accuracy across all 207 tables sprint over sprint consistently.
Trial Sprint
Teacher AI evaluated its first augmented engineer through a paid trial sprint with defined deliverables before committing to a full embed contract.
Flex Scale
Kodexo Labs scaled SmartMedHx's clinical AI engineering team from one specialist to a full development pod without ever renegotiating the engagement contract.
How Kodexo Labs Builds An Augmentation Shortlist.
Every phase ends with a defined deliverable, so the role moves from a brief to embedded engineer without surprises.
Requirements and Role Definition
You get a signed-off engineering role brief listing technical requirements, seniority, team-fit criteria, and a shortlist timeline, produced before any sourcing begins, with Kodexo Labs beside your engineering lead, setting sprint expectations and mapping HIPAA, GDPR, or SOC 2 needs wherever the client's role sits.
Candidate Sourcing and Screening
You get a shortlist of three to five pre-vetted candidates with technical assessment scorecards and team-fit notes, reviewed before any interview is scheduled, since Kodexo Labs sources from its bench, runs a stack-specific coding assessment, and conducts a system design interview before any candidate shortlisting.
Technical Vetting and Trial Sprint
You get a shortlisted engineer who has completed a two-week paid evaluation sprint on scoped client work with defined deliverables, output reviewed before the full embed, with attended standups, sprint ceremonies, and code reviews, and delivery judged against a production-readiness standard, not a whiteboard claim.
Full Embed and Integration
You get an engineer embedded inside your sprint cadence, contributing to daily standups, code reviews, and sprint showcases, with onboarding documentation and a defined productivity ramp, plus access to your codebase, Slack, Jira, Confluence, and CI/CD pipeline, with velocity tracked from the opening sprint onward.
Ongoing Delivery and Retention
You get a Kodexo Labs retainer with defined SLAs for sprint delivery, incident response, and knowledge transfer, treated as a contract deliverable, not an ad-hoc arrangement, with monthly delivery reports, a documented off-boarding protocol, and throughput tracked across the remote team behind 94% client retention.
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Frequently asked questions about staff augmentation.
IT staff augmentation embeds pre-vetted specialist engineers directly into a client's existing team. The augmented engineer works in the client's sprint cadence, under the client's engineering lead, with full IP ownership retained by the client from day one. Outsourcing is the opposite: an external team takes a defined deliverable and owns the outcome. Kodexo Labs (Austin, TX) runs the placement model as team extension, not vendor delivery.