Anthropic
Claude models, built for safety and long-context reasoning.
PARTNERS
The AI ecosystem, on your terms.
We are independent and model-agnostic. We build with the best of the ecosystem and stay loyal to your outcome, not to one vendor's roadmap.
Independence is a design choice. We select the model, cloud and tooling that win for your problem, your data residency and your compliance line, then integrate them into production inside your operation.
Foundation models
OpenAI
GPT models for reasoning, code and multimodal work.
Google DeepMind
Gemini models for frontier multimodal capability.
Meta Llama
Open-weight models for sovereign, on-prem builds.
Mistral AI
Efficient open and commercial models from Europe.
Cohere
Enterprise models tuned for retrieval and search.
DeepSeek
Open-weight models, tuned for cost and scale.
Alibaba Qwen
Multilingual models, open and commercial.
Zhipu AI
Open-weight frontier models, built on sovereign silicon.
Moonshot AI
Agentic models, built to run in swarms.
Cloud and compute
NVIDIA
GPUs and the inference stack for demanding models.
AWS
Bedrock and compute for scalable, private deployments.
Microsoft Azure
Azure OpenAI and AI infrastructure inside your tenant.
Google Cloud
Vertex AI, data and compute for production workloads.
Data and retrieval
Databricks
Lakehouse and governance for AI on your own data.
Hugging Face
Open models and tooling for private, portable AI.
LangChain
Orchestration for agentic, multi-step workflows.
Pinecone
Vector search for retrieval at production scale.
Weaviate
Open-source vector database for grounded retrieval.
Elastic
Search and retrieval over your existing data estate.
Building is expensive. We made it less so.
Every startup burns cash on the same things before it burns cash on the thing that matters. Cloud bills. Payment processing. The tools you need before you've earned a dollar. None of it is the product. All of it is the tax you pay to build the product.
We negotiated that tax down. Not for us, for you.
These eight are the ones that matter first. Not the longest list we could find, but the one your company actually needs in the first ninety days.
Run on the infrastructure we're already building for you
AWS
Unfunded: $5,000 in credit, six months. Funded: up to $150,000, two years. We architect it. This pays for it.
Google Cloud
$2,000 to start. $350,000 if you've raised. Built for the GPU-heavy, AI-native workloads we deploy.
DigitalOcean
$5,000 in credit, twelve months. The entry point for teams still finding their scale.
Auth0
Credit toward identity infrastructure. It's already part of what we build. Now it's part of what you save.
Solve the first ninety days
Stripe
Your next $20,000 in payments, on us. Take the fees out of the equation before you've made your first sale.
Notion
Credit toward the workspace your company will run on from day one.
HubSpot
90% off year one, 50% year two, 25% year three. Up to $7,000 back into the business. For our product companies. Not open to agencies or service businesses.
Brevo
75% off your first year. Up to $5,661 saved before you've sent your first campaign at full price.
This is the start, not the list
There are 600+ deals in the full library: Airtable, GitLab, Shopify, Apollo.io, and more. You get the rest the moment you onboard.
Talk to us about onboarding, and we'll open the portal.
Talk to usValues and approval timelines are set by each provider and may change. Some credits require direct application and provider approval, from same-day to a few weeks. Ask your Forward Labs team for current terms.
Logos and names are trademarks of their respective owners. Partnership and integration status varies by engagement. Data residency, compliance and partner benefits are scoped during onboarding.
Independent by design. Loyal to your outcome.
San Francisco · IstanbulQuestions
Common questions
What does model-agnostic mean?
We are not tied to any model vendor. We evaluate frontier and open-weight models against your problem, on your data, and deploy the one that wins.
Which foundation models do you build with?
Anthropic's Claude, OpenAI's GPT models, Google Gemini, Meta Llama, Mistral and more. Claude currently leads many of our enterprise evaluations, which is why it sits first on the list.
Which model should we choose?
The one your own evaluation picks. We run the candidates against your workflow and your data; the decision comes from evidence, not preference.
Which clouds and compute do you deploy on?
NVIDIA-accelerated infrastructure, AWS, Microsoft Azure and Google Cloud, inside your own tenant. The compute follows your data residency, not the other way around.
Can you run open-weight models on-premise?
Yes. For sovereign or regulated deployments we run open-weight models on your own GPU infrastructure, fully inside your jurisdiction.
Do partnerships bias your recommendations?
No. We hold no resale quotas and take no kickbacks. Independence is a design choice; recommendations come from evaluations.
Can you work within our existing vendor contracts?
Yes. We build inside the agreements, tenants and enterprise discounts you already have, rather than forcing new procurement.
What is your data and retrieval stack?
Chosen per problem: Databricks and Elastic for the estate, Pinecone or Weaviate for vectors, LangChain-style orchestration where it earns its place.
What are the startup perks?
For qualifying companies we pass through partner credits and discounts, from cloud credits to tooling deals, worth meaningful money in the first year. Scoped during onboarding.
Can you migrate us from one model to another?
Yes. We build MCP-native, portable harnesses with evaluations, so switching models is a measured decision, not a rebuild.
- Model-agnostic by design
- Sovereign, on your infrastructure
- Loyal to your outcome, not one roadmap
The independent forward-deployed AI partner