SaaS & B2B × Project-Based Work
Best SaaS & B2B AI Agencies for Project-Based Work (September 2026)
SaaS & B2B AI agencies with verified project-based client evidence — ranked by depth of documented work, then editorial quality.
Each listed agency documents project-based engagements on its own site or in a published case study; the model is never inferred from a service list.
Ranked agencies for project-based clients
Rankings updated · Newest review
Top 30 of 38 agencies with documented project-based work.
Dublin, Ireland
Client evidence: 20 documented clients overall
Best for: Irish and European SMEs and founders buying a whole product build, with AI as one layer inside it rather than the whole engagement.
Preste
#2Paris, France
Client evidence: 17 documented clients overall
Best for: Hardware and industrial firms that need computer vision running on the device, not in the cloud, delivered as a 2–6 month build.
ontolux
#3Berlin, Germany
Client evidence: 13 documented clients overall
Best for: German public bodies, broadcasters and publishers that need tagging and search over large German-language text collections.
London, United Kingdom
Client evidence: 13 documented clients overall
Best for: Founders commissioning a first blockchain or AI product build on a startup budget who will check references before signing.
OstraconAI
Verified: the agency confirmed ownership from a company email address, and the listing passed editorial review#5Helsinki, Finland
Client evidence: 11 documented clients overall
Best for: Nordic marketing and sales teams that want AI tools built into HubSpot, Teams or Microsoft 365 and their own staff trained to run them.
London, United Kingdom
Client evidence: 8 documented clients overall
Best for: Pharma, research and public-sector buyers with an NLP problem on unstructured documents that has to survive review.
Berlin, Germany
Client evidence: 8 documented clients overall
Best for: Enterprises putting voice or chat in front of real customers, where a wrong answer reaches the public.
Found
#8London, United Kingdom
Client evidence: 8 documented clients overall
Best for: UK consumer brands in retail, insurance and hospitality that want AI applied inside paid search, SEO and campaign data.
Rotterdam, Netherlands
Client evidence: 8 documented clients overall
Best for: Mid-sized Dutch companies that want ERP, CRM and finance data in one managed Power BI environment before any AI build.
Berlin, Germany
Client evidence: 7 documented clients overall
Best for: Product owners adding AI to an app that already has users, rather than starting from a model.
QED Software
#11Warsaw, Poland
Client evidence: 7 documented clients overall
Best for: Data-rich firms and startups with a detection, vision or forecasting problem suited to a research-led team.
10Clouds
#12Warsaw, Poland
Client evidence: 5 documented clients overall
Best for: Banks, insurers and credit funds automating a defined back-office or sales workflow on a platform already run in production.
Indigo Labs
#13Ljubljana, Slovenia
Client evidence: 5 documented clients overall
Best for: Product teams that want a scoped AI build with the duration, team size and budget stated before the contract.
App4You
#14Gdańsk, Poland
Client evidence: 5 documented clients overall
Best for: Polish public institutions and smaller operators that want a fixed-scope build with the price published before the first call.
Valletta, Malta
Client evidence: 5 documented clients overall
Best for: Small firms and startups that want one embedded engineer to wire an LLM or agent into their existing tools on a modest budget.
Softblues
#16London, United Kingdom
Client evidence: 5 documented clients overall
Best for: Early-stage B2B product teams and smaller UK or Irish firms scoping a first voice agent, agent pipeline or Claude rollout.
Brights
#17Warsaw, Poland
Client evidence: 5 documented clients overall
Best for: Product companies adding an AI assistant or agent feature to a web or mobile platform built with an outsourced team.
coompanion
#18Munich, Germany
Client evidence: 5 documented clients overall
Best for: Mittelstand and startup operations teams automating a document or ticketing workflow on tools their own staff will keep running.
Alpdev
#19Ljubljana, Slovenia
Client evidence: 5 documented clients overall
Best for: Mid-market sales and support teams that want an AI system wired into the CRM, telephony or ERP they already run.
Nebuli
#20London, United Kingdom
Client evidence: 5 documented clients overall
Best for: Organizations wanting a private, self-hosted generative AI workspace over their own documents rather than a public LLM.
Warsaw, Poland
Client evidence: 5 documented clients overall
Best for: Small manufacturers, contractors and agencies automating invoice, document and CRM workflows on a Make.com or Zapier stack.
Madrid, Spain
Client evidence: 4 documented clients overall
Best for: Small European B2B teams automating a WhatsApp, invoice or order workflow that already runs inside an ERP or CRM.
xtream
#23Milan, Italy
Client evidence: 4 documented clients overall
Best for: Utilities, lenders and scale-ups with a defined forecasting or planning problem and the data to feed it, handed over as a production model.
TechnoLynx
#24Budapest, Hungary
Client evidence: 4 documented clients overall
Best for: Hardware, codec and vision startups that need a model or GPU pipeline made faster, ported or validated, with a benchmark they keep.
Contiamo
#25Berlin, Germany
Client evidence: 4 documented clients overall
Best for: German municipal utilities, housing companies and consumer brands adding GPT-based assistants to customer service and content work.
peoly
#26Prague, Czech Republic
Client evidence: 4 documented clients overall
Best for: Manufacturers and platform teams buying camera-side vision, or an ML team embedded alongside engineers they already have.
Flobotics
#27Warsaw, Poland
Client evidence: 3 documented clients overall
Best for: Operations teams that want automation bought against a payback number, especially in healthcare revenue cycle.
Softspring
Verified: the agency confirmed ownership from a company email address, and the listing passed editorial review#28Madrid, Spain
Client evidence: 3 documented clients overall
Best for: Founder-led products that need one AI feature built properly, with the data boundary and the human checkpoint decided up front.
Boldare
#29Amsterdam, Netherlands
Client evidence: 3 documented clients overall
Best for: Consumer-facing businesses adding an OpenAI-backed chatbot or generated content to a web platform Boldare builds or runs.
Warsaw, Poland
Client evidence: 3 documented clients overall
Best for: Fintech and proptech product teams that want LLM agents or AI forms built into a JavaScript platform by a small senior team.
Head-to-head
About this list
Much of the documented SaaS work here is small, dated and stage-labeled. Softblues marks each flagship with the stage it reached: Roof Maker's eight-agent voice line is live, answering every support call and logging HubSpot tickets, while SofiaHR's assessment pipeline, ten fine-tuned Gemini Flash models at 90%+ agreement with expert analysts, is in beta across 10 clients and 300+ interviews a week. Indigo Labs publishes duration, team size and budget per project; its ESG ON platform for RISO pre-fills EU reporting templates, reported at a 70% cut in analysis time and described as an MVP in testing. Valletta Software Development built NLP models on GPT and BERT for Autobound.ai with A/B-tested variants, reported at 20% higher open rates. OstraconAI's inbound pipeline for Singa went live in week three and cut manual lead sorting from 45 minutes a day to single digits. Square Root Solutions' Druid Learning build runs larger: a content-intelligence platform using transformer classifiers and spaCy across 140+ languages, at 500k+ assets processed, which the client's testimonial calls the indexing and categorization engine its product depends on.
For a product team buying a scoped build, ask where the deliverable sits: inside a product paying users touch, or in an internal workflow on accounts the agency owns. Then ask for the stage label and what came with the handover, since MVPs and betas sit next to a few live systems here and several published team sizes run one to three people per project. Read the tags against the evidence: Data Analytics documents dashboard work with no model in production, App4You's freight agent for INF Shipping Solutions is described as work under way, not a delivered case, and Fast Data Science's published work is NLP for pharma and public bodies.
Intro by Gabor Kiss, curator · How we rank
Expert Insight
Why SaaS & B2B experience matters
Evaluation infrastructure—The difference between a demo and a durable feature is an eval suite: test sets, regression checks on prompt changes, quality metrics tied to user outcomes. Specialists build it alongside the feature; without it, every model update is a gamble shipped straight to production
Unit-economics engineering—Per-request model costs decide whether your feature has a margin. Specialists design cost ceilings in from the start—model routing, caching, context trimming—instead of discovering at scale that the assistant costs more than the seat
Handover quality—Your engineers inherit this code. Specialists deliver documented pipelines, reproducible evals, and infrastructure your team can run; agency-shaped black boxes turn into unmaintainable dependencies the day the contract ends
Product-not-project thinking—AI features need iteration loops after launch: feedback capture, failure review, prompt and model updates. Specialists set up that loop and a sane retainer for it; project shops ship the feature and leave you with version one forever
Frequently asked questions
38 agencies in our directory combine verified project-based client evidence with documented SaaS & B2B work. The current top-ranked are Square Root Solutions, Preste, ontolux — ordered by depth of documented client evidence, then our editorial scoring (portfolio quality, credibility, completeness); placement is never paid.
Published rates across this page's agencies run €20–400 per hour (median ~€65). Project totals depend on scope — the rate index at /rates breaks the computed bands down by region, country and team size.
Every agency here documents project-based work on its own site or in a published case study, describing the engagement structure rather than a service-list claim. We never infer the model from portfolio tone, so this list only contains agencies that operate project-based engagements deliberately.
9 of the agencies on this page document an embedded / team-extension working model. See the team-extension page for the full verified list, or check the engagement chips on individual profiles.