Company details

HEADCOUNT

25-99

ORG TYPE

Startup

SECTOR

Technology & Digital

WEBSITE

https://www.doubleword.ai

About the company

Doubleword (formerly TitanML) builds a self-hosted AI inference platform for enterprises that want to run open-source or custom models inside their own infrastructure. The company positions the product around performance, cost, and control for regulated or high-scale environments. Doubleword announced a $12M Series A on May 8, 2025 led by Dawn Capital, following earlier pre-seed funding as TitanML. The company also launched a Snowflake Marketplace native app in June 2025.

Locations and presence

Doubleword is headquartered in London (Farringdon) and markets roles as London hybrid, with “remote for the right candidate” on some postings. Public announcements also reference scaling into the US alongside enterprise partnerships.

Palpable Score

42.1

/ 100

Doubleword looks like a high-calibre technical team, but public hiring is almost entirely senior, making it a tough fit for graduates right now. The company writes clear role scopes, but it does not publish much about interview steps, salary bands, or early-career progression, which limits confidence for first-job candidates.

Pillar 1: Early-career access

Score

4.0

/ 20

The company’s published openings are senior-leaning, including “Senior Infrastructure Engineer” and “Senior Research Engineer” roles in LLM inference systems.
Doubleword’s “Member of Technical Staff – Full Stack” role is framed around leading internally and owning architecture, which is not a typical 0–3 years entry point.
The company does not show internships, apprenticeships, or junior titles on the public careers page, so entry-level access is currently minimal.

Pillar 2: Hiring fairness and transparency

Score

12.0

/ 20

The company’s job pages are specific about responsibilities and what skills matter in production, which helps candidates self-select.
Doubleword uses direct email applications rather than a visible ATS pipeline, which can work at small team size but is less transparent for applicants tracking status.
The company does not publish interview stages, timelines, or what assessments look like, so candidates cannot judge process burden upfront.

Pillar 3: Learning and support

Score

8.7

/ 20

The company’s senior engineering roles include real systems work across benchmarking, GPU infrastructure, and inference tooling, which can be strong learning for early hires with experience.
Doubleword lists “continuous learning” as a core value, but the job pages do not spell out mentoring, pairing, or a ramp plan that a junior hire could rely on.
The company’s current openings emphasize autonomy and technical leadership, which usually reduces the likelihood of structured support for someone in their first role.

Pillar 4: Pay fairness and stability

Score

9.7

/ 20

The company states “competitive with equity” on role pages, which is a baseline signal of paid, stable employment rather than trial-style arrangements.
Doubleword mentions “comprehensive benefits” in role pages, but the public materials do not list specifics like pension, healthcare, or leave policies.
The company does not publish salary ranges or equity guidance for roles, which caps pay fairness scoring for early-career candidates comparing offers.

Pillar 5: Early-career outcomes

Score

7.7

/ 20

The company has runway and market validation signals through the May 8, 2025 Series A announcement, which supports team stability but is not the same as retention proof.
Doubleword has product-distribution momentum via the June 3, 2025 Snowflake Marketplace native app launch, which suggests real customer-facing delivery pressure and learning opportunities for hires.
The company’s LinkedIn footprint shows a small team size band, but public evidence is missing on junior promotions, intern-to-offer conversion, or 12–24 month retention.