As a development company we design custom aggregator platforms around real data flows — with tailored logic, format normalization, and infrastructure that scales with your growing data sources.
50 sources. 50 different formats.
Custom parsing turns messy feeds into usable structure.
Data everywhere. No way to act.
Aggregator platforms become a single, usable layer.
Everything updates — just not here.
API aggregator with real-time sync keeps data fresh.
Built once. Broken too often.
Fallback logic keeps integrations stable.
We scope each build individually — based on your data sources, sync logic,
and platform complexity.
We've worked with Toimi on two projects now, and both times the result was spot on. Timelines were realistic, communication was clear, and the team handled all details without us having to chase.
They didn't just ship features — they explained trade-offs, suggested improvements, and really thought about long-term use. Felt like an extension of our team.
Fast, professional, and no overcomplication. Our landing page went live on schedule and performed better than expected.
Easy to work with, thank you!
Didn’t find what you were looking for? Drop us a line at info@toimi.pro.
Fremont entrepreneurs build manufacturing supplier comparison platforms, real estate aggregators for the Tri-City area, job boards targeting Silicon Valley hardware roles, price comparison tools for industrial components, and local service directories serving Fremont's diverse communities.
A basic aggregator with data collection, normalization, and search takes 2-4 months. Platforms with real-time feeds, user accounts, and personalization need 4-8 months. We launch with one or two data sources and expand based on Fremont user feedback.
Data source count, parsing complexity, update frequency, and user features influence pricing. A content aggregator costs less than a real-time price comparison platform. Budget for ongoing data source maintenance alongside the build.
Custom scrapers, API integrations, RSS parsers, and webhook receivers. Data normalization pipelines clean everything into a consistent format. For Fremont businesses, we ensure compliance with applicable terms of service and regulations.
Yes. Streaming pipelines, scheduled syncs, and webhook-driven updates. Fremont's manufacturing data aggregators often need near-real-time pricing and inventory data, which we architect specifically.
Automated validation, deduplication, and freshness checks. For critical Fremont business applications, we add human review queues for edge cases automated systems cannot resolve.
Data pipeline proven first, then full UI. Sprint demos show real data flowing through the system. This de-risks the project early and gives Fremont founders confidence before committing to full development.
Source monitoring, parser updates, and performance optimization as sources change. Development retainers for new sources and features as your Fremont user base grows.