Top Mobile App Development Companies in Oregon

Researched by:Goodfirms Research TeamUpdated:September 3, 2026

Goodfirms has reviewed 49 Mobile App Development Companies in Oregon as of September 2026. The top-ranked firm is Skalfa (5.0 stars, 3 verified reviews, $25 - $49/hr, founded 2004, Lake Oswego). Across the category, the median hourly rate is $37, median client rating is 5, and 18% of firms employ 50+ members. Explore the vetted Mobile App Development Companies in Oregon below, compare their strengths, and connect with the provider best suited to your requirements.

49Verified firms
$37/hrMedian hourly rate
5 ★Median rating
18%Have 50+ members

Goodfirms has verified 49 Mobile App Development Companies in Oregon - part of 26,593+ Mobile App Development Companies, each passing Goodfirms' 4-step verification process (background check, client interviews, portfolio audit, ongoing quality review). Listings marked "Sponsored" are agencies that pay for premium placement - sponsorship does not affect star ratings or review content.

Top 10 at Glance

Compare the highest-ranked firms first side by side.

Rank
Company
Rating
Reviews
Hourly Rate
Team Size
Founded
Headquarters
Action

List of Best Mobile App Development Companies in Oregon

Find a Mobile App Development Company Near you
Find a Mobile App Development Company Near you
Service
Hourly Rate
Employees
ReviewsAll Companies
Industry
Client Type
  • Established in 2015, Interactive Outsourcing Solutions is a leading BPO outsourcing company that specializes in delivering high-quality, cost-effective services that are designed to meet the diverse needs of our global clientele. We also specialize in web design and development, digital marketing, and graphic design. With over a decade of experience, we pride ourselves on helping ... read Interactive Outsourcing Solutions reviews & insights

    NA
    50 - 249
    2015
    Portland, United States

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Where the firms are.

Bubble size shows how many firms each country has; colour shows its average hourly rate. Tap any country for its firm count, average rate, rating, and Value Score.

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All cities ranked by Value Score.

Every city in scope, ranked by Value Score.

CityFirmsAvg RateAvg RatingValue ScoreAction
USEugene2$37/hr578View firms
USPortland29$94/hr567View firms
USLake Oswego7$93/hr565View firms
USBend1$37/hr-65View firms
USAshland1$37/hr-65View firms
USCanby1$37/hr-65View firms
USBeaverton4$62/hr-57View firms
USRoseburg1$75/hr-50View firms
USOregon City1$75/hr-50View firms
USMedford1--8View firms
USTigard1$250/hr-2View firms
USEugene
2 firms$37/hr5
Value Score78 / 100
USPortland
29 firms$94/hr5
Value Score67 / 100
USLake Oswego
7 firms$93/hr5
Value Score65 / 100
USBend
1 firms$37/hr
Value Score65 / 100
USAshland
1 firms$37/hr
Value Score65 / 100
USCanby
1 firms$37/hr
Value Score65 / 100
USBeaverton
4 firms$62/hr
Value Score57 / 100
USRoseburg
1 firms$75/hr
Value Score50 / 100
USOregon City
1 firms$75/hr
Value Score50 / 100
USMedford
1 firms
Value Score8 / 100
USTigard
1 firms$250/hr
Value Score2 / 100

Match by work-hour overlap with your team.

Cost matters - but so does being able to actually talk to your developer during your workday. Here are the best destinations for each major hub.

If you're in US (PT/ET)Recommended

Look for nearshore LATAM partners - same-day collaboration, similar time zones, and 50-60% cost savings vs domestic.

MXMexico~7h overlap
ARArgentina~6h overlap
BRBrazil~5h overlap
CACanada~8h overlap
If you're in Europe (CET/GMT)Recommended

Eastern Europe is your sweet spot - 1-2h time zone shift, EU GDPR alignment, and 40-50% lower rates than Western Europe.

PLPoland~8h overlap
UAUkraine~7h overlap
RORomania~7h overlap
ZASouth Africa~8h overlap

How firms are placed on the matrix

Every position on this chart is the output of the Goodfirms ranking algorithm - a weighted composite of signals across two axes. The algorithm is recomputed regularly and is fully documented.

Sponsorship does not affect placement. PRO members receive visible badges and ad placements, but their algorithmic scores are calculated identically to free listings.

Read the full methodology
Algorithm at a glance
1
X-axis (Core Competencies): Service Focus Ratio + Portfolio Depth + Quality + Experience
2
Y-axis (360-Performance): Client Reviews + Market Presence + Goodfirms Score
3
Missing signals are excluded from a firm's score, not substituted with defaults - weights redistribute across remaining inputs
4
Recency decay over the last 18 months keeps stale reviews from dominating
5
Eligibility floor: ≥ 1 published review in this category scope

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Cities with the best Value Score for mobile app development hiring.

Ranked by a composite score blending firm count (supply), average rating (quality), and median hourly rate (cost). Affordability is weighted highest (50%), so this list surfaces actually affordable destinations rather than just-big markets.

Budget leader
Portland · $0-24/hr

5 firms in this tier - more than any other city. Top picks: SynapseCo, Five Talent, AppTree Enterprise.

Mid-tier leader
Portland · $50-99/hr

2 firms in this tier - more than any other city, averaging 5.0 ★. Top picks: Prospus, Apps24x7.

Top tier leader
Portland · $150+/hr

5 firms in this tier - more than any other city, averaging 5.0 ★. Top picks: Sembit, EMERGE - Digital Product Agency, Copious.

Loading heatmap…
Cell intensity (firm density):
Low
High
Best Value marks the densest, highest-rated, most-affordable cell per row

How the heatmap is built

Every cell in the grid above is the count of firms in (place × hourly-rate tier). Firms are placed by their published hourly rate; those without a disclosed rate are not plotted.

Top company names per cell are surfaced by Value Score - a weighted blend of affordability (50%) + rating (35%) + review volume (15%).

The "Best" ribbon marks the cell in each row where firm density, ratings, and affordability line up best - the densest, highest-quality combination.

Read the full methodology
Value Score · per firm
ValueScore = 0.50 × Affordability
+ 0.35 × Rating
+ 0.15 × Review Volume
// All sub-scores normalized 0-100
// Affordability = (1 - rate/$200) × 100
// Rating = (rating - 3) / 2 × 100
// Volume = log10(reviews+1)/log10(200) × 100

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