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Machine Learning Consulting
Machine learning (ML) systems analyze large volumes of data, discover hidden relationships, and make predictions for new, previously unknown scenarios. However, sometimes the integration of such algorithms can become a problem due to the expertise, and time. At Evrone, we know how to streamline this process and benefit from ML integration.
This process enables the creation of models that adapt and improve their performance over time, making them indispensable for tasks involving constantly changing data. But to enjoy its smooth and effective running, it’s necessary to build capability. Machine learning service providers assist in this task and help businesses to use the technology for their goals.
ML Consulting Focus
ML development and integration are not easy tasks, since teams encounter similar problems. This process requires attention and a thorough consideration due to the following challenges:
No ML strategy or unclear ROI
Engineers cope with it by developing a roadmap, align KPIs, and planning staged investments.
Messy or siloed data
Specialists conduct data audits, create pipelines, analyze governance, and set access control.
Tool/model paralysis
Experienced teams choose vendor-neutral architecture & TCO trade-offs.
Pilots don’t reach prod
Employees deal with MLOps (CI/CD, registry, monitoring, rollback).
Low model quality or drift
ML consultants do an evaluation suite, retraining cadence, and A/B tests.
Manual, costly workflows
Specialists integrate ML automation (doc, triage, assist) with KPI targets.
Remember that machine learning consulting helps identify system weaknesses and develop an effective strategy to eliminate them while achieving higher efficiency.
Machine Learning Consulting Services We Provide
Evrone is a team that clients can request machine learning consulting services from and achieve the desired results. Our specialists pay attention to the smallest details and provide a comprehensible report of the conducted survey with highlighted shortcomings. However, besides ML consulting, clients can order the following services:
ML strategy & roadmap Employees assess goals, KPIs, and ROI cases Data readiness & governance Specialists watch for the quality, lineage, PII, and access Modeling & PoC NLP, CV, and forecasting processes MLOps & platform Teams develop pipelines, registry, and SLOs Integration & APIs Specialists to embed models into products and workflows Outsource ML Development services Clients can choose ML developers for hire and outsource teams for fulfilling particular tasks
Evrone is a reliable machine learning consulting company, where clients get high-quality solutions for their cases. Employees are highly competent and treat each case individually.
What You’ll Get
Consulting is a set of measures and steps that embrace the analysis of different aspects of the software. As a result of AI and ML consulting, clients get the following:
- strategy deck;
- use-case backlog;
- data/ML risk map;
- architecture & ADRs;
- evaluation suite;
- MLOps blueprint;
- rollout plan.
Evrone is an expert in the field of providing machine consulting services. Our reputation is approved by over 400 implemented projects and satisfied clients. Contact us to become the next one.
Why Partner with Evrone
Although dozens of agencies exist in this market segment and provide deep learning consulting companies, many business owners choose Evrone due to our high reputation and deep expertise. Our main strengths include:
400+
Implemented projects
300+
High-class professionals
150+
International awards
100+
Clients worldwide
17
Years of experience
Our Process
When a client engages with us for machine learning consulting, they go through the following stages:
1
Assess
Our specialists evaluate goals, data, risks, and a baseline
2
Design
Teams develop architecture and backlog, and provide estimates
3
Prove
Employees create PoC/MVP with clear success criteria
4
Scale
Teams provide MLOps, integrate the software, ensure governance, and encourage training
If you need ML consulting services, contact our managers and appoint an individual meeting. We’ll be glad to embody your expectation and help improve business performance.
Client stories
I learned a lot in the past year, working with Evrone.com to explore using new cross-platform frameworks like Flutter (including contributing an audio recording module to the community), design language, and flows. We decided to use a Firebase backend with Google’s speech recognition API. The Evrone team introduced me to a broad swath of design tools and process like Trello, Zeplin, Loom, Marvel, InVision, and more.
David E. Weekly
Evrone.com developed a web-based platform that allows users to connect, ask and answer questions, and integrate with social media. Users are giving positive feedback and are happy with the process of getting involved.
Erez Naveh
Co-Founder & VP come2play.com, Quiv.com, Yallo
Publications
FAQ
What is a machine learning consultancy?
Machine learning consultancy demonstrates which processes, when automated, will bring the greatest business benefits. To identify the value that can be extracted from the collected data in advance, a neural network is being developed that minimally addresses the automation challenges.
Consulting vs development?
The choice between consulting and development depends on your skills, interests, and goals. Consulting is suitable for those who need to analyze problems, develop strategies, and give advice, while development is for those who need to create products and technologies, bringing ideas to life.
Do you help with responsible AI?
Yes, certainly. Our scope of the provided services includes this task.
Can you integrate models into our stack?
Yes, our employees perform this kind of task upon the client’s demand.
How do you measure success?
Our employees make reports and compare KPIs to evaluate the efficiency of integrated processes.
What Tech Stack & Tools do you use?
We prefer to use the following tools: Python, Jupyter, Pandas, scikit-learn, PyTorch/TensorFlow, MLflow, Ray.
What engagement models do you offer?
We offer our clients a choice between hourly consulting, fixed-price engagements (audit, strategy, etc.), and a dedicated team / retainer model. The choice depends on the project scope, timeline, and budget.