Integrated Talent Solutions

Sourcing, evaluation and AI upskilling in one accountable stack.

Why enterprise teams hire with us

01

Talent at scale

Technology hiring across engineering, data, cloud, ERP and enterprise platforms, evaluated against role-specific competencies.

02

AI screening & coding tests

Knovia runs resume matching, structured AI interviews, scenario-based assessments and proctoring in one place.

03

Pre-vetted pipeline

An active pool already through AI-driven assessment, so functional and technical roles onboard faster.

04

Practice-based hiring

Partnerships across hyperscalers and enterprise platforms — Databricks, Snowflake, Salesforce, ServiceNow.

05

Flexible engagement

Talent augmentation, integrated talent solutions and AI upskilling through The AI Academy, shaped around your delivery teams.

06

Trusted by global enterprises

A track record on large-scale hiring programmes and shared services expansion for multinational organisations.

Technology roles we hire for

01

Engineering

Backend, full-stack and frontend — Java, .NET, Python, Node

Engineers for APIs, customer applications and distributed systems, assessed for coding, architecture and integration skills.

02

Data & AI

Data engineers, analytics engineers, ML engineers, AI engineers

Specialists in pipelines, lakehouses, analytics and production models, with practical evaluation of data quality, deployment and monitoring.

03

Cloud & Platforms

AWS, Azure and GCP engineers, DevOps, SRE

Cloud infrastructure, delivery pipelines and reliability specialists, screened for automation, observability, security and operational ownership.

04

Enterprise Systems

SAP, Oracle, Salesforce, ServiceNow

Functional consultants, developers and integration specialists for configuration, implementation, migration and ongoing platform support.

05

Quality & Assurance

Automation testers, performance engineers

QA specialists covering API and UI automation, integration testing and performance, with a focus on dependable releases and clear defect reporting.

AI candidate evaluation for better-informed technology hiring.

Knovia powers the full candidate evaluation lifecycle for technology, engineering and enterprise platform roles. Visit knovia.ai.

Resume & skillsAI interviewScenario testsFunctional testsKNOVIAEvaluation reportProctoring evidenceAudit-ready log

01

AI resume & skill matching

Parses and scores profiles against the role: technical skills, domain experience, certification validation, career progression.

02

Structured AI interviews

Conversational interviews assessing communication, problem-solving approach, scenario handling and cultural fit.

03

Scenario-based assessments

Coding challenges, architecture case studies, debugging and system design simulations.

04

Role-specific functional testing

Proficiency tests across ERP (SAP, Salesforce, ServiceNow), cloud platforms and data pipelines.

Built for enterprise trust

  • Evaluation reports covering every assessment stage, so a hiring decision can be explained
  • AI proctoring — movement detection, browser activity monitoring, identity verification
  • Audit-ready logs — timestamped records, question-level analytics, governance-ready evidence

Role spec to onboarding in six steps, over three to four weeks.

Each step has a defined output and a clear progress record, so you always know where a role stands and what you receive next.

  1. 01

    Day 1–2

    Requirements intake

    You share role specifications. We allocate dedicated recruiters by skillset.

    Brief agreed

    Signed-off role spec

  2. 02

    Week 1

    Intelligent sourcing

    Every profile is scored by our AI recruitment engine against your requirements.

    100 profiles

    Scored longlist

  3. 03

    Week 1–2

    AI assessment

    Automated competency evaluation through AI interviews and coding tests, calibrated with your team.

    62 assessed

    Assessment reports

  4. 04

    Week 2

    Quality review

    Our recruiters read the assessment reports and shortlist; our technical panel interviews the shortlist.

    14 shortlisted

    Panel-reviewed shortlist

  5. 05

    Week 3

    Submission & offer

    Evaluated profiles go forward for offer release.

    6 submitted

    Offer-ready profiles

  6. 06

    Week 3–4

    Onboarding readiness

    Background verification runs in parallel, so time-to-hire stays short.

    Deployed

    Verified and ready to start

Four ways to bring us in.

01

Talent Augmentation

Rapid deployment of pre-vetted technology talent to close capacity gaps or cover peak demand.

02

Integrated Talent Solutions

Sourcing through to deployment as one end-to-end service.

03

The AI Academy

Client-specific AI upskilling and finishing-school programmes aligned to your hiring needs.

04

Practice-Based Hiring

Practice-aligned hiring of data, product and AI/ML engineers across Databricks, Snowflake, ServiceNow and core enterprise platforms.

Enterprise talent programme results

01 — Case study

Global IT services & systems integration leader

Scaling enterprise talent with speed

A high-velocity, enterprise-grade hiring engine supporting large-scale workforce expansion across multiple technology stacks.

  • 45% reduction in hiring cycle time — ~45 days to ~25
  • Better quality of hire, with stronger early-tenure performance
  • Offer-to-join ratio improved to 88–92%

02 — Case study

Financial services organisation

Finance & compliance talent

A reliable finance and trade operations workforce for high-volume, regulated banking operations.

  • 35% reduction in time-to-hire vs. traditional staffing
  • High accuracy in compliance-critical roles, reducing early attrition
  • Improved operational continuity across trade finance and KYC teams

FAQs

Tell us the roles and the timeline. We come back with a plan within one business day.