Cohere

2026-09-18

COMPANIES · 1 SOURCE · Cohere

Cohere and OpenText partner to integrate North with Aviator for agentic AI in regulated sectors

Cohere and OpenText announced a strategic partnership to integrate Cohere’s North agentic AI platform and models with OpenText’s Aviator AI agents, aiming to help governments and regulated industries move agentic AI from pilot to production. The combined solution will connect enterprise data and context while allowing deployment on-premises or in private, public, or sovereign cloud environments with controls for security and data location.

6.0

2026-09-16

COMPANIES · 1 SOURCE · Cohere

Cohere and Aleph Alpha sign deal to create transatlantic 'sovereign AI' company

Cohere and Germany’s Aleph Alpha have signed a definitive business combination agreement to combine operations and position the unified company as a transatlantic sovereign AI provider, subject to final regulatory approvals expected later this year. The combined firm will be dual-headquartered in Berlin and Toronto, expand to over 1,000 employees, keep Aleph Alpha’s Heidelberg research centre, appoint Ilhan Scheer as Cohere COO and Samuel Weinbach as Cohere Chief Research Officer, and deepen a partnership with Schwarz Digits to deliver sovereign AI on STACKIT.

8.0

2026-09-16

MODELS · 1 SOURCE · Cohere

Cohere releases open-source "Transcribe Arabic" ASR model claiming best open-weight Arabic accuracy

Cohere published Transcribe Arabic, an open-source Arabic automatic speech recognition (ASR) model (Apache 2.0) based on its 2B ASR work. Cohere says the model achieves a 25.87 WER on the Hugging Face Arabic ASR leaderboard, outperforming Meta’s OmniASR-LLM-7B and OpenAI’s Whisper Large V3, and was preferred to Whisper in about 96% of human evaluation tests; weights are available on Hugging Face and via the Cohere API/Model Vault.

8.0

2026-09-16

COMPANIES · 1 SOURCE · Cohere

Cohere explains the 'Total Cost of AI Ownership' and enterprise trade-offs

Cohere published a blog post framing 'Total Cost of AI Ownership' (AI TCO), walking through visible (token pricing) and hidden costs of running AI at scale and advising enterprises how to decide which capabilities to own versus rent. The post highlights token economics, model-call chains, infrastructure utilization, references Gartner's $2.52 trillion 2026 AI spending projection, and uses examples (e.g., Uber) to illustrate how AI usage can rapidly increase costs.

6.0

2026-09-16

RESEARCH · 1 SOURCE · Cohere

Cohere introduces hardware-aware Dynamic Speculative Decoding (DSD) to adapt draft-token count to GPU constraints

Cohere presents Dynamic Speculative Decoding (DSD), an extension of speculative decoding that selects the number of draft tokens K based on hardware regime (memory-bandwidth vs compute-bound) and model type (dense vs MoE). DSD uses offline profiling of Acceptance Length (AL) and Inter-Token Latency (ITL) to choose an optimal K per condition, aiming to preserve SD speedups in production workloads and large-scale RL rollouts.

7.0

2026-09-16

MODELS · 1 SOURCE · Cohere

Cohere releases North Mini Code — open-source 30B (3B active) agentic coding MoE model

Cohere has open-sourced North Mini Code, a mixture-of-experts agentic coding model sized at 30 billion parameters with 3 billion active, released under an Apache 2.0 license. The model — available on Hugging Face, OpenRouter, and Cohere's Model Vault in bf16, fp8 and w4a16 formats and compatible with OpenCode — is optimized for agentic developer workflows and reports a 33.4 score on the Artificial Analysis Coding Index, higher throughput (up to 2.8x) and ~30% better inter-token latency versus Devstral Small 2 in Cohere's tests.

8.0

2026-09-16

COMPANIES · 1 SOURCE · Cohere

Cohere partners with University of Toronto to integrate North into campus-wide AI platform

Cohere and the University of Toronto announced a multi-year partnership to integrate Cohere’s privately deployable agentic AI platform, North, as an orchestration layer in U of T’s forthcoming enterprise-wide AI platform. The collaboration will support teaching, research, student services and administration, back the university’s AI Kitchen evaluation environment, and emphasize secure, university-controlled handling of sensitive data.

6.0

2026-09-16

COMPANIES · 1 SOURCE · Cohere

Cohere showcases North agent platform and Automations for wealth managers

Cohere published a blog post illustrating a hypothetical wealth manager using its enterprise agent platform, North, and its Automations feature to build multi-step, auditable workflows that integrate fragmented data sources, generate client intelligence, synthesize research, and draft client communications while emphasizing privacy and regulatory controls.

4.0

2026-09-16

REGULATION · 1 SOURCE · Cohere

Cohere signs EU Code of Practice on Transparency of AI‑Generated Content (Section 1)

Cohere announced it has signed the EU Code of Practice on Transparency of AI-Generated Content and is among the first signatories, confirming it signed Section 1 that applies to AI system providers. The company said the step supports compliance with Article 50 of the EU AI Act and that it will continue collaborating with EU bodies such as the EU AI Office on implementation.

6.0

2026-09-16

MODELS · 1 SOURCE · Cohere

Cohere debuts Parse — a high-throughput enterprise document parsing model

Cohere has released Parse, a vision-language document parser optimized for enterprise workloads and available via the Cohere API, Compass search stack, and private single-tenant Model Vault. Cohere positions Parse as cost‑effective ($1.50 per 1,000 pages) with high throughput and stronger price–performance on ParseBench versus several specialized parsers and hyperscaler document services.

7.0

2026-09-16

COMPANIES · 1 SOURCE · Cohere

Cohere publishes 'Generative AI for Business' guide

Cohere released a practical guide outlining how businesses can apply generative AI across functions—covering use cases such as RAG-based search and synthesis, content generation, multimodal outputs, conversational assistants, coding assistants, data querying, automation, and AI agents—plus benefits, challenges, and an adoption approach. The post also references Cohere’s developer model North Mini Code as related further reading.

5.0

2026-09-16

COMPANIES · 1 SOURCE · Cohere

Cohere: FDEs should build customer AI capacity, not operational dependency

Cohere published a post arguing that vendor forward-deployed engineers (FDEs) can accelerate enterprise AI production deployments by working inside customer environments and fixing product-level gaps, but that this approach raises operational dependency risks unless knowledge transfer and capability-building are prioritized. The piece cites Deloitte’s 2026 State of AI in the Enterprise statistic that only 25% of organizations have moved 40% or more of AI pilots into production as context for the deployment bottleneck.

5.0

2026-09-16

MODELS · 1 SOURCE · Cohere

Cohere argues smaller, task‑optimized language models can outperform at lower cost

Cohere published a post promoting small language models (SLMs) for enterprise use, arguing they cut compute, data and energy needs while enabling local deployment and lower costs. The post highlights Cohere models — Command R7B, the Tiny Aya family (3.35B) and North Mini Code (30B MoE with 3B active) — and cites benchmark claims that North Mini Code and Tiny Aya outperform several larger competitors on coding and multilingual translation benchmarks respectively.

6.0

2026-09-16

COMPANIES · 1 SOURCE · Cohere

Cohere publishes 'Enterprise AI Maturity Model' outlining five-phase path from pilots to AI-native firms

Cohere outlines a five-phase Enterprise AI Maturity Model—Experimentation, Tool adoption, Internal platforms, Strategic integrations, and AI-native transformation—and argues most organizations stall between Tool adoption and Internal platforms; it highlights barriers to moving pilots into production including siloed data access, trust and compliance concerns with LLMs, and fear of model obsolescence.

5.0

2026-09-16

CODING · 1 SOURCE · Cohere

Cohere publishes megakernel serving engine for North Mini Code with faster H100 decoding

Cohere describes a megakernel-based serving engine for its North Mini Code 30B model that runs BF16 on a single NVIDIA H100 and claims 1.25×–1.41× end-to-end speedup over vLLM, with a reported 292 tok/s (62% of SoL) at batch size 1 — about 1.58× faster than vLLM. The system supports production features (continuous batching, paged attention, ragged sequences), an OpenAI-compatible endpoint with tool calling, is implemented as a single CUDA file, and the code is available on GitHub.

7.0

2026-09-16

RESEARCH · 1 SOURCE · Cohere

Cohere commissions IDC InfoBrief on 'Sovereign AI' adoption and finds mixed understanding among enterprise leaders

Cohere commissioned IDC to produce an InfoBrief on sovereign AI adoption among senior decision-makers in regulated industries. The study reports rising urgency around controlling AI infrastructure but widespread confusion over the term — one in three leaders struggled to define sovereign AI, while among those who could, 52% framed it as national/local control and 35% as digital independence — and Cohere highlights its North platform as a private-deployment option to retain local control.

6.0

2026-09-16

REGULATION · 1 SOURCE · Cohere

Cohere CEO Aidan Gomez warns against letting dominant AI labs set safety rules, criticizes Anthropic roadmap

In a blog post, Cohere co-founder and CEO Aidan Gomez argues that allowing a small number of market-dominant AI companies to define safety standards and seek antitrust exemptions would risk creating a cartel that protects incumbents and limits competition. Gomez supports independent review of powerful systems but warns that proposals like the roadmap published by Anthropic CEO Dario Amodei raise questions about who writes standards and who gets to participate; he cites past regulatory failures (SEC-designated bond-rating firms and Europe's Motor Vehicle Block Exemption) as cautionary examples.

6.0

2026-09-16

STARTUPS · 1 SOURCE · Cohere

Cohere and University of Waterloo to launch AI Transformation and Change Management certificate in Fall 2026

Cohere and the University of Waterloo announced a partnership to develop a non-credit AI Transformation and Change Management certificate led by Waterloo’s Future of Work Institute, launching Fall 2026. The program will combine classroom learning, applied co-op projects and a living lab to give students hands-on experience helping organizations identify, prioritize and implement practical, responsible AI use cases.

5.0

2026-09-15

REGULATION · 1 SOURCE · The Decoder

Critics doubt Big AI’s proposed slowdown is really about safety

OpenAI, Anthropic, and Google have proposed slowing frontier AI development citing safety concerns, but figures across industry and politics are pushing back. Cohere CEO Aidan Gomez called the initiative a "cartel by another name," and both the White House and Donald Trump have opposed the move, according to reporting by The Decoder.

7.0