Fulcrum / Scaling an
Engineering Team
Global Staffing
The Challenge
Fulcrum, a rapidly growing B2B SaaS company in the US, faced an urgent need to scale their engineering team with skilled professionals who could align seamlessly with their in-house teams. However, finding top-tier talent within budget was challenging, and traditional offshore options had proven difficult due to time zone and communication issues. Fulcrum required a nearshore outsourcing partner who could deliver both technical expertise and cultural alignment.
Our Solution
DevSavant adopted a consultative approach to understand Fulcrum’s unique goals, team dynamics, and technical requirements. Leveraging our specialized Talent Acquisition process, we identified and recruited highly skilled LATAM-based talent in alignment with Fulcrum’s timelines and budget constraints. By focusing on cultural fit and technical expertise, we ensured a smooth integration of our staff into Fulcrum's operations. This success extended beyond the engineering team as Fulcrum entrusted us with scaling additional teams in Customer Support, Operations, and Finance, establishing a truly comprehensive partnership.
The Results
The collaboration with DevSavant enabled Fulcrum to achieve accelerated growth and operational efficiency with a flexible, scalable workforce. Our nearshore team quickly became an integral part of their business, seamlessly supporting Fulcrum’s objectives with agility and alignment. Our partnership has evolved into a symbiotic relationship, positioning DevSavant not just as a staffing provider but as an essential extension of the Fulcrum team.
Our team now represents 31% of Fulcrum’s total workforce.
“Off-shore staffing solutions come with challenges. But the time zones, similar cultures, and highly fluent English speakers allow us to partner so tightly to operate without any distinction between our staff and DevSavant’s.”
Jim Baker, Director, Reliability and Release Engineering, Fulcrum
IntelePeer / Data
Warehousing
Product Engineering
The Problem
IntelePeer, a leading player in the Communication Platform as a Service (CPaaS) industry, faced challenges with handling and processing massive volumes of data generated by millions of users. They needed a robust, scalable solution to efficiently filter and classify data from multiple sources, while ensuring data security, quality, and integrity. This system would be critical for enhancing analytics and reporting across the organization.
Our Solution
DevSavant collaborated closely with IntelePeer to design a tailor-made data warehousing solution that met their stringent requirements. Utilizing Google Cloud Platform (GCP) as a SaaS solution, we developed a scalable Data Warehouse and supporting Data Marts. Our solution incorporated business rules directly into the ETL processes, automated workflows, and ensured seamless data handling from ingestion to reporting. The deployment involved a suite of cutting-edge tools, including Talend, Airflow, Docker, and Python integrations, enabling quick processing across complex data streams while ensuring security and reliability.
The Results
IntelePeer now has a stable, high-performance Data Warehouse capable of securely storing petabytes of data with minimal maintenance. The scalable design supports any future business needs and continues to enhance IntelePeer's analytics capabilities, providing reliable, real-time insights across various departments. This solution has allowed IntelePeer to streamline data processing and reporting, resulting in increased operational efficiency and robust data governance.
“I like that DevSavant has established a team of thinkers. Other providers are not thinkers, they are doers… We need partners, not doers.”
Joey Neff, VP Application Software Development, IntelePeer
Conversica / ETL Pipeline
for Dynamic Massive
Lead Ingestion
Global Staffing
The Problem
Conversica, a leader in AI-driven sales and marketing solutions, required a high-volume ETL solution to manage massive lead ingestion from clients’ Dynamics instances. The existing process, with limited retrieval capabilities, struggled to efficiently integrate vast amounts of data, resulting in delayed updates and onboarding friction. Conversica needed a scalable, flexible ETL pipeline that could ingest, transform, and load leads, contacts, and accounts in near real-time, while being adaptable to future integrations with other CRM and ERP systems.
Our Solution
To meet Conversica’s needs, DevSavant proposed the development of a scalable and reusable ETL pipeline leveraging an iPaaS solution, Workato. This approach offered enhanced visibility, maintainability, and flexibility compared to traditional monolithic, scheduled processes. We built an integration system that bridges the ETL pipeline with Conversica’s monolithic architecture, handling massive data ingestion with ease. Key technologies included Workato for automation, AWS CloudFront and API Gateway for scalable deployment, and a robust infrastructure using Terraform, Gitlab CI/CD, and a mix of PHP, Ruby, and Python for backend processing.
The Results
The new ETL pipeline increased data retrieval frequency from twice daily to every five minutes, providing Conversica with up-to-date customer information to improve service delivery. The improved onboarding process reduced friction for new clients, while the flexible design of the ETL pipeline allows for quick adaptation to new systems, reducing future development costs. This streamlined data management has enabled Conversica to efficiently handle massive lead ingestion and maintain a high standard of service.
Impartner / Data
Lifecycle Project
Product Engineering
The Problem
Impartner, a leading provider of Partner Relationship Management (PRM) solutions, faced significant challenges in managing and optimizing its sales data. Key issues included:
- Inconsistent and duplicated account records.
- Difficulties with standardization and classification of data.
- Inefficiencies in enriching sales data for accuracy.
- Complexities with handling special characters, abbreviations, and common words in account names.
These challenges hindered sales executives from accessing updated and accurate leads-related information, negatively impacting productivity and sales pipeline efficiency.
Our Solution
DevSavant developed a comprehensive data lifecycle management system tailored to Impartner's needs. The solution addressed every stage of the data lifecycle, including cleaning, linking, enriching, and classifying records. Highlights of the solution included:
- Advanced data cleaning techniques to standardize and unify company names.
- Deployment of advanced Regular Expressions (Regex) for precise text matching.
- Implementation of Fuzzy Matching models and Distance Algorithms to identify and resolve data duplicities.
- Utilization of Clustering and Natural Language Processing (NLP) algorithms, such as Affinity Propagation and Latent Dirichlet Allocation (LDA), to classify and group similar records effectively.
- Integration of Deep Learning methods, including pre-trained Neural Networks (NNs) and Named Entity Recognition (NER) models, for data enrichment and accuracy enhancement.
The Results
The implementation of the data lifecycle system transformed Impartner's sales processes:
- Sales executives gained access to clean, enriched, and accurate lead information, significantly improving sales pipeline efficiency.
- Data standardization reduced duplicity and inconsistencies, enabling faster decision-making.
- Overall productivity was boosted, streamlining the sales process and ensuring better resource allocation.
AI-Powered Reading Assessment (EdTech | PoC in 4 Weeks)
Product Engineering
The Problem
A K–6 literacy platform needed to validate whether AI could automate fluency scoring and reduce teacher workload.
Our Solution
We built a serverless, edge-first PoC with dual speech-recognition engines, real-time LLM feedback, and zero-PII storage.
The Results
Deployed to school Chromebooks with a validated, scalable cost model for rollout.
Interactive Audiobook Companion (Venture-Backed | 8-Week MVP)
Product Engineering
The Problem
A startup wanted to transform passive listening into an interactive learning experience.
Our Solution
We delivered a native iOS MVP integrating AI personas, timestamped conversation anchors, and a production-ready architecture.
The Results
TestFlight launch prepared for user pilots and investment conversations.
Self-Service AI Book Generation Platform (Founder-Led | 8 Weeks)
Product Engineering
The Problem
A solo founder needed to turn a manual prototype into a self-serve product.
Our Solution
We built a secure web platform with automated image generation, Stripe payments, and an admin CMS—built to protect user photos.
The Results
Predictable unit economics, privacy-compliant workflow, and zero engineering dependency for content updates.
AI-Powered Support Automation (Growth-Stage SaaS | 9-Week Delivery)
Product Engineering
The Problem
A B2B SaaS company struggled with manual support triage across email, chat, and CSM channels.
Our Solution
We created an AI-assisted routing engine integrated with Zendesk, including structured data collection and tiered SLAs.
The Results
Standardized processes, lower onboarding complexity, and reduced manual triage.
Cross-Platform AI Conversation Manager (Internal Product | Ongoing)
Product Engineering
The Problem
Users lacked unified search across ChatGPT, Claude, Gemini, DeepSeek, and Grok.
Our Solution
We built a Chrome extension with local-only indexing, multi-platform integrations, and advanced search capabilities—fully GDPR-aligned.
The Results
Production release on Chrome Web Store with sustainable freemium model.
Automated Financial Reporting Dashboard (Private Equity | 1-Week Sprint)
Product Engineering
The Problem
A PE firm needed to eliminate hours of manual Excel work for consolidated reporting.
Our Solution
We delivered a Power BI dashboard integrated directly with their accounting system through their Azure environment.
The Results
Report generation time reduced from hours to minutes, with zero manual errors.