Streaming changed how advertising works, but the change did not happen all at once. There is no page to load in the traditional sense, and no banner slot sitting in a fixed corner of the screen. The commercial and the content also cannot be separated as cleanly as they once were.
For the ad break to be delivered within the stream, it needs to be embedded within the video. The ad break also needs to be synchronized with the manifest and measured across screens, which may not function similarly.
This shift created a specific engineering problem, and most firms offering CTV AdTech development have not addressed it. Display experience does not carry over. The work calls for people who understand SSAI pipelines, ad break scheduling, and player integration at a level where one miscalculation appears as a black screen in someone’s living room.
The four firms listed below were chosen because they can point to real streaming and OTT work, rather than slide decks about it.
Why Streaming Ad Tech Demands Different Engineering
The space that is provided for a web ad comes with a predetermined size and order of loading; this is not the same when it comes to a stream ad break.
An ad break can only be made possible if the platform identifies which ad to send, injects the ad into the stream without any buffering, and ensures synchronization with the player in order not to interfere with the ad and the content. Server-side ad insertion is one of the attempts to solve the problem, as it involves stitching ads into the video on the server side.
There is also the issue of measurement, where the CTV advertisement is played on a display in an environment without any cookies, browser fingerprinting, and without the shared login with the mobile device used by the viewer. Therefore, cross-device attribution becomes a data challenge on top of the delivery challenge.
Generalist engineers can build a video player. Fewer engineers can build the auction logic, consent, and measurement that go into making a monetized streaming product. This is the filter for the list below.
1. Sigma Software
Sigma Software’s streaming credentials run deep, and the specifics matter more than the summary. The firm builds SSAI pipeline development work that covers server-side insertion, manifest rewriting, macro substitution, and ad break scheduling engine design. Player integration spans IMA SDK and custom players. Measurement runs through VAST, VPAID, and IAB standards.
Prebid support from Sigma goes beyond web and app to reach CTV surfaces. This matters for a specific reason. Header bidding on CTV runs under constraints that a browser never encounters, and the number of firms able to connect Prebid Server to a streaming environment is small.
The Verizon Media engagement shows what Sigma can handle at scale. In that project, a data platform that was falling behind its own traffic was rebuilt to process 2.5 million events per second. Latency dropped from two hours to five minutes, and the work was completed in nine months.
Broadcasters building CTV auction infrastructure should put Sigma on their shortlist. It is uncommon to find one firm with SSAI depth, Prebid for CTV, and a platform rebuild of that size on its record.
- SSAI pipeline development with manifest rewriting and macro substitution
- Ad break scheduling engine design
- Player integration through IMA SDK and custom players
- Cross-screen measurement aligned to VAST, VPAID, and IAB standards
- Prebid deployment for web, app, and CTV surfaces
What this means for media owners running streaming inventory: Sigma can build both the insertion layer and the auction layer that determines what fills it.
2. Avenga
Avenga is one of the top AdTech development partners when it comes to CTV and streaming monetization, which is proven by numerous facts and evidence during the production process. One of the OTT video-streaming publishers in Asia hired Avenga to develop a full-fledged AdTech stack, which created a closed ecosystem allowing monetization of the client’s first-party data on their own terms.
The collaboration lasted 18 months and included the process of planning, development, and maintenance. As a result, four platforms were developed. The self-serve advertising platform allows managing campaigns by advertisers, agencies, and the client’s AdOps team. In the case of an ad server, Google Ad Manager was replaced with a solution for serving video and image advertisements in the streaming platform.
The data lake was created for collecting data from the streaming platform, analytics systems, subscriptions, external sources, and devices. The customer data platform analyzes this data lake and integrates with the ad server and self-serve platform, which allows advertisers to run targeted campaigns.
For a broadcaster or media owner comparing a streaming monetization platform build against another vendor contract, this is the kind of project that ends the dependency. The stack runs on AWS, React, Python, Go, and Terraform, with more than 12 technologies in play.
OTT publishers that want to leave Google Ad Manager behind should look at Avenga. The firm has already done that exact migration for a streaming operator and shipped it to production.
- Self-serve ad platform for advertisers, agencies, and internal AdOps
- Ad server replacing third-party tools, serving video and image ads
- Data lake connecting streaming, analytics, subscription, and device sources
- CDP tied to the ad server and self-serve platform for targeted campaigns
- 18-month delivery from scoping through MVP release and support
What this means for streaming operators planning a stack rebuild: Avenga brings a completed OTT reference build, not a theoretical pitch.
3. EPAM
EPAM addresses the issue of streaming from a strategic angle instead of an engineering one. Within its Media and Entertainment practice, the company works with broadcasters, streaming platforms, content owners, and sports organizations on advertising technology modernization, with OTT advertising technology strategy being a part of this process. Moreover, CTV inventory planning and the creation of retail media networks belong to the same area of competence.
The consulting group is already working with the platforms run by broadcasters, which include Magnite, FreeWheel, The Trade Desk, and Google Ad Manager. These relations usually bring up recommendations that take into account the real environment, not theoretical models. Identity resolution and privacy-safe data sharing are also part of the advisory process.
For a broadcaster who is trying to determine whether to switch a platform, extend it, or combine several platforms, EPAM can be a good starting point before any engineering costs are incurred.
Broadcasters who plan to undergo a platform transition need to consider EPAM. The consulting layer will help understand what needs to be abandoned and what needs to be preserved before the build is funded.
- OTT and CTV inventory strategy
- Ad platform audits and transformation roadmaps
- Retail media network buildouts
- Identity resolution and privacy-safe data sharing
- Working knowledge of Magnite, FreeWheel, The Trade Desk, and Google Ad Manager
What this means for streaming operators facing a platform decision: EPAM maps the transition before the build starts, which lowers the odds of rebuilding the wrong layer first.
4. Intellias
The AdTech offering of Intellias has been created considering the platform elements required to be owned by the streaming operator. These include DSPs, SSPs, DMPs, ad exchanges, and private marketplaces along with ad servers, header bidding adapters, and the data and analytics layer that incorporates audience signals.
One particular area of expertise of the company lies in OTT advertising technology for mid-market enterprises. This is important since mid-market broadcasters and regional streaming platforms tend to get locked out of enterprise-level collaborations with big companies.
The effort is supported by a series of qualifications, which include 24 years of experience in delivering software, more than 3,000 people working at the firm, more than 450 completed projects, and a 4.9 rating on Clutch by repeat customers.
Mid-market streaming operators should weigh Intellias. The firm has the platform breadth of a large vendor, along with a stated focus on companies that are not Tier 1 broadcasters.
- DSP, SSP, DMP, ad exchange, and private marketplace builds
- Ad server and header bidding adapter development
- OTT and CTV focus for mid-market companies
- Data and analytics work pulling audience signals into one pool
- Modernization of aging ad platforms without a revenue freeze
What this means for regional broadcasters and smaller streaming services: Intellias delivers the same platform scope that enterprise vendors offer, aimed at operators without enterprise budgets.
FAQ
These questions tend to come up when broadcasters and streaming teams are weighing a build against another vendor contract. The answers below stay with what the four firms above can verify.
Can a streaming platform run its own ad server instead of renting one?
Yes, it can. Avenga replaced Google Ad Manager with a custom ad server inside an OTT publisher’s stack, and that system handles both video and image ads. The build ran for 18 months and covered planning, execution, and support.
What is the difference between SSAI and CSAI, and which one should a CTV platform use?
SSAI stitches ads into the video stream on the server side. This keeps playback smooth and also protects against ad blockers. CSAI inserts ads on the client side, which gives more control over the ad experience but comes with a risk of buffering. Most CTV operators run SSAI for linear and live content. CSAI tends to be reserved for on-demand, where flexibility matters more than smoothness.
How does cross-screen measurement work when CTV has no cookies?
Identity resolution takes the place of cookies. Firms such as Sigma Software use first-party IDs, privacy-safe data sharing, and standards like VAST and VPAID to measure ad delivery across devices. EPAM approaches the same problem from the strategy side, and it maps identity resolution into platform roadmaps.
Do mid-market broadcasters need enterprise-scale vendors for a CTV build?
No, they do not. Intellias names OTT and CTV work for mid-market companies as a specific focus. This means the same platform breadth that a Tier 1 broadcaster would hire, aimed at operators with smaller budgets and shorter timelines.
How long does a full AdTech stack build take for a streaming platform?
Avenga’s OTT stack ran 18 months from start to finish, with planning, build, and support included. Timelines shift depending on scope, but the four-platform model (self-serve, ad server, data lake, CDP) is a fair reference point.
Conclusions
Streaming ad technology is a specific engineering discipline, and the firms worth hiring can prove they have done it.
Avenga brought a completed OTT stack build with a real replacement of Google Ad Manager. Sigma Software covers the SSAI and auction layers with production-scale proof from Verizon Media. EPAM handles the strategy work that comes before a build, which matters when a broadcaster is deciding what to keep. Intellias delivers the full platform scope for operators who are not Tier 1 broadcasters.
The question for any AdTech development for media companies’ partners comes down to one thing. Can this firm name a streaming or OTT engagement where the work shipped to production? The four on this list can.