MANAGED TECHNICAL TALENT
Vetted engineering and AI-data teams, ready to deploy.
Ompliify helps AI companies, workforce platforms and technology teams deploy qualified professionals for coding evaluation, AI-response review, model evaluation and software-engineering projects.
India-based delivery • Global time-zone coverage • Contract and project teams
Screening, calibration and quality review run as one operation.
Requirement discovery
Technical screening
Project calibration
Quality review
OPERATING FIGURES
What Ompliify can deploy today.
100+
vetted technical professionals
10
ready to deploy
7 Days
typical initial deployment
40+
technical disciplines
WHO WE SUPPORT
Built for teams that run on technical judgement.
01
AI & Foundation-Model
Coding and response evaluation at project scale.
02
Human-data & expert-network
Vetted technical contributors for review work.
03
GCC & Enterprise Engineering
Contract engineers who join existing delivery.
04
Product and SaaS companies
Deployable squads for defined roadmaps.
05
Digital Transformation
Specialists for modernization workstreams.
TALENT CAPABILITIES
Technical depth, organized by discipline.
01
AI and LLM
Engineers who build, evaluate and harden generative-AI applications.
CORE
Python
FastAPI
Generative AI
Large Language Models
Prompt engineering
02
Backend and enterprise
Services, APIs and enterprise platforms across Java, .NET, Node.js and Python.
JAVA AND .NET
Java
Spring Boot
Spring Security
Microservices
C#
.NET
ASP.NET Core
Web API
Entity Framework Core
03
Frontend and full-stack
Web and mobile interfaces across React, Angular and Vue.
React
Next.js
React Native
Redux
Angular
Angular Material
NgRx
TypeScript
JavaScript
Vue.js
HTML5 and CSS3
Tailwind CSS
Micro-frontends
04
Data and cloud
Databases, cloud infrastructure and delivery pipelines.
PostgreSQL
MySQL
SQL Server
MongoDB
Oracle
Redis
AWS
Azure
Docker
Kubernetes
Jenkins
GitHub Actions
CI/CD
05
Technical AI-data work
Technical review and evaluation work for AI projects.
AVAILABLE SUBJECT TO PROJECT-SPECIFIC QUALIFICATION
Coding response evaluation
AI-response ranking
Model-output evaluation
Prompt-response quality review
RAG response evaluation
Technical fact-checking
Code review and debugging
Software-engineering subject-matter review
Technical data annotation
Test-case generation
Quality assurance and reviewer roles
Skills shown are representative. Availability is confirmed for each staffing request.
Sample Teams
Illustrative team configurations. Each one is adjusted to the staffing request.
ILLUSTRATIVE
POD A
Coding Evaluation
10
coding evaluators
1
senior QA reviewer
1
delivery coordinator
RELEVANT STACKS
Python, JavaScript, Java, C#/.NET
ILLUSTRATIVE
POD B
LLM Evaluation
6
technical evaluators
1
calibration lead
1
QA reviewer
FOCUS
RAG, chatbot responses, technical accuracy and safety
ILLUSTRATIVE
POD C
Engineering Delivery
4–8
engineers
1
technical lead
Optional
QA and DevOps support
COMPOSITION
Frontend, backend, cloud or full-stack
HOW IT WORKS
Six steps from requirement to a managed team.
01
Discovery
We confirm skills, headcount, time zone, start date and engagement model.
02
Matching
We shortlist professionals from our directory against the requirement.
03
Screening
Each candidate completes a role-specific technical and communication assessment.
04
Calibration
Selected people are calibrated against your quality guidelines.
05
Deployment
Team leads and reviewers are assigned and onboarding begins.
06
Quality monitoring and scaling
We track attendance and quality, replace where needed, and scale with demand.
SCREENING AND QUALITY ASSURANCE
Quality is managed, not assumed.
ASSESSMENT FRAMEWORK
01
Identity and experience verification
02
Role-specific technical assessment
03
Communication assessment
04
Project-specific qualification
05
Calibration against quality guidelines
06
Reviewer feedback and performance monitoring
07
Replacement and capacity-continuity support
FOUR LAYERS OF CONTROL
LAYER 01
Talent quality
Verification and role-specific assessment before anyone is shortlisted.
LAYER 02
Project calibration
Alignment to your guidelines before work starts.
LAYER 03
Delivery QA
Reviewer feedback and performance monitoring during delivery.
LAYER 04
Continuous improvement
Calibration refreshed, replacements made and capacity kept continuous as the project runs.
We do not stop after introducing candidates—we help assemble, onboard and support teams against clearly defined project requirements
01
Technical specialization
Engineers and reviewers screened for the stack they will work in.
02
Flexible team configurations
Pods and squads shaped around each staffing request.
03
Transparent ramp planning
Ready-now and future capacity shared up front.
04
Managed delivery support
Team leads, reviewers and coordinators run delivery day to day.
PILOT READINESS
Start with a calibrated pilot.
Begin with a small team, agree how quality is measured, and decide whether to scale after you have reviewed the results.
01
Define a small initial team
02
Agree assessment and quality criteria
03
Run a limited calibration period
04
Review performance
05
Scale successful contributors
PARTNER READINESS
What a vendor program will ask for.
✓
Legal entity and company profile
✓
NDA, MSA and SOW readiness
✓
Technical talent directory
✓
Worker availability tracking
✓
Skill and experience records
✓
Project onboarding support
✓
Quality and replacement process
✓
Invoice and payment operations
✓
Communication through Slack, Discord or client systems
Start time depends on the role, stack and team size. We confirm the timeline against each staffing request.
Identity and experience verification, a role-specific technical assessment, a communication assessment and project-specific qualification.
Unsuitable personnel are replaced, and capacity-continuity support keeps the team at strength.
Contract professionals, managed project teams, full-time hiring and pilot teams.
Commercial terms are provided against project scope.
