Comparison updated · Newest review
Side by side
Published data on both agencies. Where one side measurably differs, the dot marks it: the higher score, the lower published rate, the larger team, the more recent review. Which of those is an advantage depends on your brief.
| Attribute | DareData | Twistag |
|---|---|---|
| Editorial score | 64/100 | Higher score: 73/100 |
| Hourly rate | €45-85/hr | €45-85/hr |
| Team size | Larger team: 50-249 | 10-49 |
| Location | Lisbon, Portugal | Lisbon, Portugal |
| Founded | 2019 | 2016 |
| Last reviewed | Sep 3, 2026 | More recent review: Sep 9, 2026 |
What we said about each
Our take on DareData
The NOS work is the anchor: a GenOS-orchestrated invoice pipeline that now handles around 65% of roughly 20,000 supplier invoices a month end to end, matching them to SAP purchase orders and routing the ambiguous rest to a 20-person review team, plus UVA, a retrieval assistant over 15,000-plus documentation pages that operators rate at 87% answer accuracy on the 20% of calls where it is used. Outside the telco, the Heineken routing engine (an OSRM duration matrix plus constraint optimization)…
Reviewed Sep 3, 2026
Read the full assessment →Our take on Twistag
The best-documented AI portfolio on this page, and the detail is where the value is. For the manufacturer Aralab, an accounts-payable agent reads any supplier PDF with Claude while deterministic code independently recalculates every line total, unit price and tax figure against the matched purchase order: the model proposes, the validation engine verifies. It shipped in six weeks with one engineer, handles more than 2,000 invoices a month, and moved three finance people off transcription.
Reviewed Sep 9, 2026
Read the full assessment →Best for
Where each agency measurably leads on the published data — team capacity, declared specializations, editorial scoring, and rates where both publish them. Use these to match an agency to your project priorities.
Choose DareData if you need
- larger team capacity for multi-stream or enterprise-scale programs
- broader service offering — also covers AI Consulting and Generative AI
Choose Twistag if you need
- closer collaboration at a smaller team scale
- disclosed specialization in SaaS & B2B
- broader service offering — also covers AI Agents and AI Automation
- a higher overall editorial score
Strengths and watch-outs
Both upsides and risks, straight from our editorial assessments.
DareData
Strengths
- Directory rates of €45–85/h against named enterprise production systems
- Engineering writing with substance: a nugget-based RAG evaluation piece drawn from production work (August 2026) and a LiteLLM supply-chain advisory, next to 18 published success stories
- Third-party signals: Clutch 100 fastest-growing 2023, Deloitte Fast 50 Portugal 2025, Google Cloud, Microsoft and NVIDIA partner badges, and 130-plus specialists reported in March 2026
Watch-outs
- NOS holds a 20% stake in DareData and supplies four of the 18 published studies—ask for a speakable reference outside the NOS group
- The homepage claims 95% production deployments and €100M-plus value generated with nothing on the site behind either figure—ask how they are counted
- GenOS is the firm's own platform and sits under the invoice, legal and Greenvolt work—confirm licensing terms and what your team can operate if the engagement ends
Twistag
Strengths
- The hybrid pattern is published, not implied: the language model interprets and deterministic code independently recalculates every figure against the purchase order
- Observability ships with the system—LangFuse traces every call with prompt versions and per-invoice cost visible in real time, so the workflow cannot get quietly expensive
- Models sit behind a provider abstraction and were swapped twice on one engagement without the product changing shape
Watch-outs
- The largest engagement, the regulatory compliance platform, is anonymized—ask for a speakable reference at one of the brands running it
- The PepTalk system publishes no measured outcome by the agency's own admission; ask what the volume and turnaround figures are now
- No headcount is published against a decade of trading—ask how many engineers would be forward-deployed on your build and for how long
Service coverage
Where the two overlap, and where each covers ground the other does not.
Industry coverage
Where the two overlap, and where each covers ground the other does not.
Pricing math
What a 12-week engagement at one full-time equivalent (~480 hours) costs at each agency’s published rate. An arithmetic projection, not a quote — real scopes move with seniority mix and team shape.
DareData
Rate: €45-85/hr
€21,600–€40,800
Twistag
Rate: €45-85/hr
€21,600–€40,800
Published midpoints are within 5% of each other — at this scope the difference is smaller than the estimate's own error bars. Decide on specialization, not cost.
Frequently asked questions
- Which is cheaper, DareData or Twistag?
- Pricing is comparable: DareData at €65/hr median vs Twistag at €65/hr. Choose on specialization rather than cost.
- Which has more Manufacturing experience, DareData or Twistag?
- Both agencies show documented Manufacturing work. Twistag has the broader industry stack overall, with disclosed experience in SaaS & B2B beyond their shared focus.
- Which scores higher overall, DareData or Twistag?
- Twistag scores 73/100, 9 points higher than DareData at 64/100. See our methodology for how scores are calculated.
- Which is faster to engage, DareData or Twistag?
- Neither publishes lead times, so this is a read on team size rather than a measured answer. Twistag runs the smaller team, which usually means fewer procurement gates and a shorter path to kickoff. DareData runs a larger one, which tends to mean more steps but more capacity to start parallel workstreams. Current kickoff availability is the number that actually decides it — ask both.
- When should I consider both DareData and Twistag?
- Consider running parallel discovery briefs with DareData and Twistag if your project spans multiple workstreams, you want competitive proposals to compare scope and approach, or you're undecided between the specialization angles each brings (see the Best for cards above). Most engagements ultimately go with one — but the parallel-brief phase is a low-cost way to validate fit.
Read the full reviews
A side-by-side is a starting point. The full assessments carry the portfolio analysis, documented engagements, and the evidence behind every strength and watch-out above.