Technology Delivery Partner · est. 2016
Digital.Data.AI
We build the platforms, pipelines, and AI systems that run your business - end to end, in weeks, not roadmaps.
Also a Staffing Partner for IT teams that need vetted talent, not a projectEngagement snapshot
Established
012016
Global partners
0230+
Client retention
0398%
Projects shipped
0425+
Our practices
Three practices, one delivery team - most engagements draw on all three, not just the one in the RFP.
Web and mobile applications, enterprise ERP integration, and cloud infrastructure built to scale.
| No. | Capability |
|---|---|
| 01 | Cloud Infrastructure |
| 02 | Enterprise ERP |
| 03 | App Engineering |
Governed data platforms and real-time telemetry that turn scattered systems into one reliable source of truth.
| No. | Capability |
|---|---|
| 04 | Data Intelligence |
| 05 | Real-Time Telemetry |
Applied machine learning and agentic systems, built with safety and governance as first-class requirements.
| No. | Capability |
|---|---|
| 06 | AI & Automation |
| 07 | Responsible AI |
| 08 | Strategic Consulting |
What we do
All 8 capabilities, full detail. Expand a row to see the problem, our approach, and what we build it with.
01Cloud InfrastructureScalable architectureDIGITAL
Resilient, self-healing cloud environments on Azure, AWS, and Google Cloud, built for high availability and disaster recovery.
The problem
Enterprises need infrastructure that scales with demand without requiring a platform team to babysit it, and that survives a region going down without a 3am page.
Our approach
We design multi-cloud landing zones with Kubernetes orchestration and serverless compute where it fits, then hand over a cost model your finance team can actually read.
Built with
- Azure
- AWS
- Kubernetes
- Terraform
02Enterprise ERPSystem integrationDIGITAL
Implementation and integration for SAP, Dynamics, and adjacent enterprise systems, connecting finance, HR, and operations data.
The problem
Most ERP rollouts fail on integration, not on the core software - data doesn't reconcile across systems and reporting lags reality by weeks.
Our approach
We map your existing systems of record first, then implement and integrate in a sequence that keeps the business running during the transition.
Built with
- SAP
- Microsoft Dynamics
- REST/OData
- Azure Data Factory
03App EngineeringWeb & mobileDIGITAL
Full-stack web and mobile applications with modular design systems built for rapid iteration, not one-off delivery.
The problem
Internal tools and customer-facing apps built as one-time projects become unmaintainable the moment the original team moves on.
Our approach
We build on typed, documented foundations - component libraries, CI-ready repos, and handover docs written for the team that inherits the codebase.
Built with
- React
- Next.js
- .NET
- iOS
- Android
04Data IntelligenceAdvanced analyticsDATA
Unified data platforms on Microsoft Fabric and equivalent stacks, from pipeline to governed, queryable lakehouse.
The problem
Data lives in a dozen disconnected systems, and by the time a report reaches a decision-maker it's already out of date.
Our approach
We build governed pipelines into a single lakehouse, with Power BI or an equivalent layer on top so reporting reflects near-real-time state.
Built with
- Microsoft Fabric
- Power BI
- Azure Data Factory
- dbt
05Real-Time TelemetryStreaming & observabilityDATA
Streaming data infrastructure aggregating logs, IoT signals, and application events into a single observable control plane.
The problem
Ops teams find out about incidents from customers, not from dashboards, because telemetry is scattered across tools that don't talk to each other.
Our approach
We centralize event streams behind a consistent schema and put live dashboards in front of the people who actually respond to incidents.
Built with
- Kafka
- ClickHouse
- Grafana
- OpenTelemetry
06AI & AutomationCognitive computingAI
Applied machine learning and agentic systems - from predictive models to multi-agent task orchestration - built on your own data.
The problem
Most "AI initiatives" stall between the proof-of-concept demo and a system a team can actually rely on in production.
Our approach
We start from the workflow you want to change, not the model - then build, evaluate, and productionize against that outcome.
Built with
- PyTorch
- Azure OpenAI
- LangChain
- Vector DB
07Responsible AIGovernance & safetyAI
Safety and compliance layers for AI systems - bias auditing, PII redaction, and audit logging built to meet GDPR-grade standards.
The problem
AI systems that work in a demo can quietly leak PII, produce biased outputs, or leave no audit trail when something goes wrong.
Our approach
We add inference-time guardrails and logging as a first-class part of the system, not a bolt-on after a compliance review flags it.
Built with
- Bias Detection
- PII Redaction
- Audit Logging
- GDPR
08Strategic ConsultingDigital transformationAI
Advisory engagements that connect technical roadmaps to business outcomes, for teams planning a transformation program.
The problem
Transformation roadmaps written by consultants who never touch the implementation tend to stay roadmaps.
Our approach
The same team that advises on strategy is available to build it, so the plan stays grounded in what's actually buildable on your timeline.
Built with
- Roadmapping
- Vendor Evaluation
- Architecture Review
No capabilities match that filter.
Two ways to work with us
Technology Partner or Staffing Partner
Some engagements need us to own delivery end to end. Others need vetted people embedded in a team you already run. Same bar for talent, two different models.
Technology Partner
We build and own delivery
You bring the outcome, we bring the team, architecture, and accountability - from the practices and capabilities above, delivered as a complete engagement.
See delivery case studiesStaffing Partner
We place vetted IT talent on your team
Contract, contract-to-hire, or dedicated pods - engineers, data specialists, and PMs who plug into your existing process, managed by you, sourced and vetted by us.
Explore staffing augmentationProof, not promises
KnackLabs
How we've approached real engagements - generalized to protect client confidentiality. Problem, approach, and outcome for each.
20 years of venue data, unified overnight
Multi-venue public facilities operator
The problem
Two decades of operational data for a portfolio of major venues sat siloed across disconnected legacy systems. Leadership had no cross-venue view of P&L, budget, or attendance - every report was assembled by hand.
Our approach
Consolidated the full historical dataset into a governed Microsoft Fabric Lakehouse, built automated ETL pipelines to structure it, then layered Power BI dashboards on top with a data-governance model for long-term auditability.
Reporting time cut from days to minutes
Forecasting demand for a regional operator
Regional transportation operator
The problem
Flight schedules, passenger loads, cargo, fuel, and revenue lived in disconnected systems. Pricing and routing decisions were made reactively from stale summaries, and different teams reported conflicting numbers.
Our approach
Built a purpose-made predictive analytics platform: unified every data source into one reporting layer, trained ML forecasting models for demand and revenue by route, and shipped dynamic-pricing tools plus real-time executive dashboards.
Reactive reporting replaced with live forecasting
One platform, three very different users
Lending platform operator
The problem
Borrowers, brokers, and administrators each needed a fundamentally different workflow. Without a shared platform, every handoff between them was manual, pricing models were static, and compliance oversight didn't scale.
Our approach
Architected a single AI-powered SaaS platform with role-specific experiences for all three user types, plus an ML-driven pricing engine for dynamic loan recommendations - built on React, Node.js, Python, and Azure.
Manual handoffs eliminated, one login for every role
Zero to production across web, iOS, and Android
Ticket marketplace operator
The problem
No existing technology foundation, in a price-sensitive market where real-time pricing decisions determine profitability - and no way to track inventory across events and channels in one place.
Our approach
Delivered a complete full-stack platform from scratch: responsive web app, native iOS and Android apps, an ML pricing-inference engine reading live market signals, and a back-office portal for inventory and reporting.
Live across three platforms in under six months
Showing 4 of 7 engagements, plus our proprietary AI products - see the full KnackLabs archive →
Open roles
9 roles open right now. Email hr@knackhook.com with the role name in the subject line.
.NET Full-Stack DeveloperHyderabad / RemoteFull-timeOpen
.NET Full-Stack Developer
Responsibilities
- Design and build features across the .NET/C# backend and React frontend
- Write and maintain automated tests as part of every change
- Collaborate with PMs and designers on scoping and estimation
Qualifications
- 3+ years building production .NET applications
- Working knowledge of React or an equivalent modern frontend framework
- Comfortable owning a feature from design through deployment
Project ManagerBellevue, WAFull-timeOpen
Project Manager
Responsibilities
- Run sprint planning, standups, and client status updates
- Track scope, risk, and timeline across 2-4 concurrent projects
- Coordinate between engineering, design, and the client stakeholder
Qualifications
- 3+ years managing software delivery projects
- Comfortable running both agile and fixed-scope engagements
- Strong written and verbal client communication
Network EngineerHyderabadFull-timeOpen
Network Engineer
Responsibilities
- Configure and maintain routers, switches, firewalls, and VPNs
- Monitor network performance and respond to incidents
- Document network topology and change history
Qualifications
- 3+ years in network engineering or administration
- Hands-on experience with enterprise routing/switching and firewalls
- CCNA or equivalent certification preferred
Azure Data EngineerRemoteFull-timeOpen
Azure Data Engineer
Responsibilities
- Build and maintain ETL/ELT pipelines into a governed lakehouse
- Model data for reporting and analytics consumption
- Partner with analysts and BI developers on data quality
Qualifications
- 3+ years building data pipelines on Azure
- Experience with Microsoft Fabric, Data Factory, or equivalent tooling
- Solid SQL and data modeling fundamentals
UI/UX DesignerRemoteFull-timeOpen
UI/UX Designer
Responsibilities
- Turn requirements into wireframes, prototypes, and high-fidelity UI
- Maintain and extend shared design systems across projects
- Partner with engineering to make sure designs ship as intended
Qualifications
- 3+ years designing production web or mobile interfaces
- Strong portfolio showing end-to-end design process
- Fluent in Figma or an equivalent design tool
Data AnalystHyderabadFull-timeOpen
Data Analyst
Responsibilities
- Build and maintain Power BI dashboards and reports
- Analyze datasets to answer specific business questions
- Work with data engineers to fix upstream data quality issues
Qualifications
- 2+ years in a data analyst or BI role
- Strong SQL and Power BI (or equivalent BI tool) skills
- Able to explain findings clearly to non-technical stakeholders
System Support EngineerBellevue, WAFull-timeOpen
System Support Engineer
Responsibilities
- Triage and resolve incoming support tickets
- Maintain documentation for common issues and fixes
- Escalate and coordinate on issues that need engineering involvement
Qualifications
- 2+ years in a systems support or IT support role
- Comfortable working across Windows and Linux environments
- Clear, patient communication with non-technical users
Data ScientistRemoteFull-timeOpen
Data Scientist
Responsibilities
- Develop and validate ML models against real business outcomes
- Work with data engineers to productionize models beyond notebooks
- Communicate model behavior and limitations to non-technical stakeholders
Qualifications
- 3+ years applying ML to real business problems
- Proficiency in Python and a modern ML stack (PyTorch or equivalent)
- Experience taking a model from prototype to production
SAP SpecialistBellevue, WAFull-timeOpen
SAP Specialist
Responsibilities
- Analyze business requirements and translate them into SAP solutions.
- Configure SAP modules to meet business needs.
- Provide end-user support and training.
- Troubleshoot and resolve SAP system issues.
Qualifications
- Bachelor's degree in Computer Science, Information Systems, or related field.
- Proven experience working with SAP modules (e.g., FI/CO, MM, SD).
- Strong understanding of business processes.
- Excellent problem-solving and analytical skills.
Get in touch
US and India offices, one delivery team. Send us a note below and we'll get back to you.
KnackHook LLC
- addr
- 1420 156th Ave NE Suite F, Bellevue, WA 98007-4421
KnackHook IT Services Pvt. Ltd.
- addr
- Plot No 92A, Flat No 301, Kondapur, Hyderabad-500084
We usually reply within 1 business day
Email is fastest for new project inquiries - the form on the right goes straight to our inbox.
Prefer to talk it through first? Call either office above and ask for the delivery team.