A platform team may need a product owner, an engineering squad or a supported technology foundation. Those are different purchases. The 20 options below cover advertising-specific product leadership, custom platform work, integration, release testing and infrastructure that your own engineers can build around.
How we chose and ordered these partners
We recommend a starting order for a team improving an existing advertising platform: first decide what needs product ownership, then compare the engineering capacity required. David Spiegel leads for roadmap and delivery decisions with an existing team. Xenoss follows for dedicated platform development; Avenga, Sigma Software and Intellias cover custom components, modernization and operator workflows. Narrower implementation and adopted foundations follow. These positions reflect the assignment and delivery model, not independently measured results; a team missing engineers should begin with the staffed options.
| Starting need |
Options to compare |
Purchasing distinction |
| Product direction with an existing team |
David Spiegel
 |
Independent product practitioner |
| Custom platform and stack engineering |
Xenoss, Avenga, Sigma Software, Intellias, GlobalLogic, Oxagile, Geomotiv, Innovecs, Innowise, BairesDev, Vention, ScienceSoft |
Staffed consulting and implementation |
| Operator interface or release coverage |
Timspark, Aimprosoft |
Narrower delivery evidence and scope |
| Adopt or extend an advertising foundation |
AdKernel, Attekmi, Epom, Teqblaze, Kevel |
Platform, licensing and engineering responsibilities must be separated |
1. David Spiegel: product ownership where engineering decisions affect revenue
David Spiegel is a strong choice for an AdTech team that needs someone to decide which platform problems deserve engineering time. At Sharethrough, he became the first product manager dedicated to ad rendering, setting a roadmap with three engineers across display, in-app, native and video. His CV reports $1.8 million in added annual revenue through improvements to latency, loading, rendering, video starts and reliability.
That work sits alongside product ownership at Content IQ, where he defined functionality for an internal platform serving more than 20 publisher sites. The combination matters: he has worked with the people operating advertising systems as well as the teams building them. David now offers independent product and growth work. He fits a brief requiring close product judgment, investigation and delivery coordination; choose a staffed engineering partner when the missing resource is a development team.
Xenoss belongs on the shortlist when the platform itself needs substantial engineering. Its DSP development offering covers building from scratch, improving an existing system and adding capabilities. The proposed work begins with technical needs, validation and a roadmap, then extends into integrations and performance under load. It also describes reusable components for campaign management, bidding, tracking and analytics.
That makes Xenoss a useful candidate for a team whose product direction is becoming more demanding than its existing architecture can support. Commission the work around the advertiser or operator task that must improve: creating a campaign, understanding delivery, or managing a new inventory source. Ask for a plan that connects those tasks to the underlying platform changes, so technical modernization remains accountable to a product result.
3. Avenga: custom components within an existing advertising stack
Avenga is worth considering when the question is which parts of the current stack to keep and which to build. Its AdTech services combine strategy and consulting with custom development, analytics and integration. The firm explicitly offers components and microservices that extend existing tools, alongside larger advertising platforms across display, native, mobile, video and other channels.
The useful distinction is the breadth of possible intervention. A team may need a new operator interface or reporting component without replacing its core buying or selling technology. Bring Avenga a map of the current system, the decisions users cannot make easily, and the interfaces that must remain stable. Its role is most attractive when the engagement needs architecture and implementation capacity as well as product definition, with a clear boundary around what will change.
Sigma Software is a strong engineering candidate when new product work depends on untangling an established programmatic system. Its AdTech practice describes control and configuration platforms, targeting and decisioning modernization, delivery performance, data pipelines and billing integration. It also offers specialist work around Prebid, streaming video and mobile monetization.
This is particularly relevant when several systems must change together before the user sees a useful improvement. A better campaign-control screen, for example, may depend on faster reporting and a reliable configuration path. The buyer should separate the visible product decision from the supporting engineering milestones, then put one owner in charge of the connection. Sigma’s breadth makes it a candidate for that implementation program; the proposal should identify who holds the product decisions inside your organization.
5. Intellias: the operational workflows around advertising delivery
Intellias is a useful alternative when the bottleneck sits in the work surrounding the auction. Its AdTech offering names proposal management, campaign management, reporting, analytics and billing. It also describes self-service advertising platforms, unified media analytics, interface improvements and integration with other advertising components.
Those services fit a product team trying to make an advertising business easier to operate. The commission might connect campaign setup to reporting, remove a repeated manual handoff, or help customers perform a task without an account manager. Begin with a real workflow and define where information is entered, changed and reconciled. Intellias offers the engineering breadth to address the surrounding systems; your brief should make the expected operator experience as concrete as the integration requirements.
GlobalLogic’s Ad Tech Tooling service explicitly covers custom order and campaign management, creative-asset workflows, inventory tools and troubleshooting dashboards. The offer includes discovery, proof of concept and implementation, with integrations to ad servers, CRMs and billing. It is a strong fit when platform work needs to connect the operator experience with several supporting systems.
Give the proposed team one recurring operational task and the records needed to trace it. A campaign change, for example, should be visible in the management tool and explainable through delivery telemetry. Ask which parts of the workflow will be rebuilt and which will be integrated. The proposal should preserve a clear product owner and define acceptance on the complete task, with ongoing maintenance and engineering responsibilities stated alongside the initial implementation.
7. Oxagile: architecture and integration advice before engineering
Oxagile’s AdTech consulting service addresses technology integration and internal systems alongside the firm’s advertising-software development work. It fits a platform team whose problem crosses an existing stack: for example, a new customer capability that depends on several services owned by different groups. Consulting can help settle those boundaries before a development team is expanded.
The engagement should produce a decision you can act on, such as which integration to change and which interface to preserve. Ask the proposed team to trace a representative request through your current architecture and explain where product behavior depends on operational assumptions. Keep an internal owner for the business tradeoffs. Technical advice is most useful when the resulting engineering plan can be checked against the advertiser or operator experience you intended to improve.
8. Geomotiv: programmatic components and existing-system improvement
Geomotiv’s AdTech practice explicitly separates consulting, building a new system and improving an existing one. Its listed components include header-bidding wrappers and adapters, OpenRTB integrations, ad servers and self-service platforms. That is a useful combination for a team trying to isolate a troublesome part of a working advertising business without commissioning a replacement for everything around it.
Bring a concrete integration problem and the operational evidence that makes it costly. The scoping conversation should establish whether the work concerns protocol behavior, the operator interface or both. Ask how the team will reproduce failures and test compatibility with the components you keep. Geomotiv is an engineering partner; assign product acceptance and the decision to expand the work separately from the number of developers on the project.
Innovecs describes AdTech development for supply- and demand-side platforms, real-time bidding exchanges, and targeting and retargeting software. It also names audience segmentation, traffic distribution and custom analytics. Its relevance is the connection between data decisions and the systems that use those decisions in advertising delivery.
Consider it when the assignment requires implementation capacity around how inventory or audiences are organized and measured. A useful first brief might define a segment, show how an operator changes it and specify how the change appears in delivery and reporting. Ask the proposed engineers to distinguish configuration, data processing and decisioning work. The service description supports a specialist engineering conversation, while the quality of a particular targeting model or its revenue contribution still needs evaluation within your own business context.
Innowise’s AdTech service includes platform consulting, custom development, real-time bidding infrastructure, audience solutions, analytics and attribution. Its named system types cover DSPs, SSPs, exchanges, ad servers and CTV/OTT advertising. That breadth suits a staffed build where the product change reaches into both operational tools and delivery infrastructure.
Use the initial discussion to narrow that breadth. A campaign-setup problem should not become an open-ended architecture program simply because the supplier can build one. Require a proposed release boundary, a load-testing approach and an explanation of which business records must reconcile. If attribution is part of the commission, agree what the model can establish and which inputs it needs. An implementation milestone and a demonstrated commercial improvement belong in different parts of the acceptance plan.
11. BairesDev: advertising engineering capacity within a wider product organization
BairesDev has an advertising-software development offering rather than only a general software-services pitch. Its custom-software overview also describes work on Pinterest’s Ad Manager platform. Those are relevant starting points for a product organization that needs additional engineering capacity around advertiser-facing software.
The buying question is how that capacity will integrate with your existing product and technical leadership. Give candidates a defined workflow, the required interfaces and your release expectations, then ask which roles they would supply. For an established platform, insist on the migration and regression work as well as the new interface. A public advertising practice supports inclusion here; it does not establish that every proposed engineer has experience with your specific auction, rendering environment or campaign-management problem.
Vention’s marketing and AdTech practice describes custom tools for ad management, delivery and targeting, alongside wider marketing-technology development. It is an engineering-services option for a team that has a product direction but needs people to implement the systems and interfaces behind it. The overlap with marketing technology may matter when advertising data must connect to the rest of a customer stack.
Start with the advertising task rather than a broad customer-acquisition ambition. Ask the team to show what it would build, what it would integrate and who would own the product decisions. If the assignment touches a live platform, include compatibility tests, staged rollout and a recovery path. Confirm the proposed specialists’ relevant experience directly; the firm’s wider services should not substitute for a precise staffing and delivery plan.
ScienceSoft’s AdTech and MarTech service names product-company work that includes audience research, prototypes, multi-tenant architecture, billing and API frameworks. Its published examples also cover advertising-data analytics and refactoring a SaaS advertising application. That makes it relevant when a platform team needs product-definition support as well as engineering delivery.
A particularly useful scoping question is what must become reusable across customers. Configuration, billing, permissions and data isolation can change the shape of a seemingly simple feature. Ask for a prototype or architecture decision that resolves that uncertainty before the larger implementation begins. The supplier describes both full development and team augmentation; compare those models on responsibility for acceptance and maintenance. Keep any claims about cost savings or performance tied to the system you actually commission.
14. Timspark: advertiser workflows around proprietary delivery infrastructure
Timspark’s sports-venue advertising case describes an advertiser-facing marketplace and middleware connected to proprietary delivery infrastructure. The published work includes geographic inventory discovery, campaign configuration, media handling, payments, reporting and SSO. It is unusually concrete evidence for the product layer around an advertising system rather than a claim to build every part of programmatic advertising.
That fits a team turning a manual sales or campaign process into self-service. Ask how the proposed engineers would handle incomplete backend documentation and dependencies owned by another team, both issues described in the case. Its reported delivery model embedded engineers in a wider team, so establish who would make product decisions and coordinate releases in your engagement. Treat the example as evidence of relevant work, with a separate estimate for your own inventory and integration constraints.
Aimprosoft’s Ubidex case concerns test automation for an AdTech platform. This is a narrower reason to shortlist a development partner: the platform may already have a roadmap and enough feature developers, while release confidence is the limiting factor. A supplier with a relevant testing example can be a useful specialist alternative to adding another feature squad.
Commission this around failures the current process misses. Identify the campaign states, integrations and business rules that need repeatable coverage, then ask how the proposed framework will fit your release pipeline. The useful output is maintainable tests and clear failure diagnosis. Confirm ownership of the test code and how engineers will update it when product behavior changes. The cited work supports a testing engagement, rather than a claim that Aimprosoft has independently designed your entire kind of advertising stack.
16. AdKernel: a choice between hosted infrastructure and custom decisioning
AdKernel’s development and consulting offer makes the build-versus-license decision explicit. It describes hosted white-label infrastructure, on-premises customization and fully custom work, including bid models and proprietary decisioning. It is a platform-and-development option for a buyer who wants to compare a configured operating stack with a larger proprietary build.
Ask the proposal to identify which pieces would be licensed, configured or created for you. That distinction determines how much control a product team has over future changes and how the economics work after launch. A first engagement should also establish which logs and decision records your team can inspect. This is a different purchase from an independent consultant working with your engineers; evaluate AdKernel when adopting infrastructure is part of the strategy, with technical ownership and exit terms written into the agreement.
17. Attekmi: roadmapping and custom development alongside white-label options
Attekmi’s custom-development service includes requirements analysis, roadmapping, design, prototyping, implementation, testing and maintenance. It names consulting and third-party integrations as distinct services. That is useful for a platform team comparing a custom build with the company’s wider white-label offerings, provided the proposal is clear about which route it recommends.
Use discovery to settle the work that is unique to your business. A branded console and proprietary bidding behavior create different obligations, even when both are described as customization. Ask for a component-level description of the proposed product, the systems it will connect to and the milestones at which your operators can try it. Agree ongoing support and the boundaries of any supplied infrastructure before treating a prototype estimate as the cost of running a complete advertising business.
Epom’s custom AdTech development offer identifies specific changes a platform team might buy: custom ad formats, bidding-logic changes and ad-serving customization, including performance metrics. Those examples make it relevant when a configured product gets close to the requirement but the remaining difference is commercially significant.
Bring a description of the behavior you need and the reason existing configuration cannot deliver it. Ask which changes are supported extensions of Epom’s products and which would be a separate custom system. The distinction affects testing, future compatibility and your team’s ability to maintain the result. For a new format, include rendering, measurement and trafficking in the brief. For bidding changes, include a controlled evaluation plan. The public offer establishes development scope, while the feasibility and ownership of an individual change still need a written technical proposal.
19. Teqblaze: customized infrastructure with dedicated technical support
Teqblaze describes custom AdTech platforms built around a buyer’s requirements, with foundational technology and technical support. Its account-management description also discusses outstaffing. It belongs in a comparison when the buyer is deciding how much infrastructure to adopt and how much specialist development capacity to bring into the existing organization.
Separate those decisions in the proposal. A hosted or licensed foundation needs an operating agreement; an embedded engineer needs a manager, access to the backlog and clear acceptance responsibilities. Ask which parts of your desired workflow would be configuration, customization or new development. Then test one difficult integration before expanding the scope. This option is most useful when the team can articulate its own product difference and wants help implementing it without taking on every underlying platform component at once.
Kevel is the API-platform alternative in this shortlist. Its technical introduction describes APIs for building a unified ad platform across ad formats and demand sources. The server-to-server approach leaves the customer responsible for the experience built around the advertising decision. It is relevant to a team that wants to own its user interface and product logic while adopting an ad-serving foundation.
Treat this as a technology purchase with an implementation plan, rather than assuming it supplies an outsourced product team. Ask who will build campaign workflows, rendering, reporting and the integration with your application. A small prototype should show the complete request and response path for one useful placement. Compare the recurring platform commitment and the engineering work together, because a flexible API does not remove the work needed to make an advertising product usable.
Give each candidate the same practical assignment. Describe a user, a recurring task and the point where the system makes that task difficult. A hypothetical brief might be: “An account manager changes campaign settings in three tools and cannot tell whether the change reached delivery. Make that change traceable from request to confirmation.”
Ask the proposal to identify four things:
- The product decision: what the operator or advertiser should be able to do.
- The system boundary: which components and external interfaces can change.
- The acceptance check: how the team will demonstrate the task works and report failures.
- The ongoing owner: who maintains the decision, instrumentation and release process afterward.
A direct product practitioner can help define that brief and work with your engineers. A development firm can supply the delivery capacity, but still needs someone empowered to resolve competing business requirements. Compare those responsibilities before comparing staffing plans.
Keep the revenue question attached to the work
If the brief says “improve performance,” name the performance that matters. Rendering reliability, campaign setup time and reporting latency describe different problems. For a revenue-linked change, agree on the relevant business measure and what else could affect it; a technical release alone does not establish commercial impact.
The first engagement should leave your team with a clearer product decision, a demonstrated improvement and an owner for what follows. That is a more useful purchasing unit than a broad promise to modernize the platform.
Sources
Frequently asked questions
Should an AdTech team hire a product consultant or a development firm?
Hire a product consultant when the missing work is diagnosis, prioritization and ownership with an existing engineering team. A development firm is more suitable when the commission also requires substantial specialist engineering capacity.
What should an AdTech platform proposal include?
It should connect a specific user workflow to the system changes, acceptance checks, business measures and ongoing responsibilities. Separate product decisions from engineering milestones so neither disappears in the handoff.
