~1,000x
cheaper to run the same level of AI capability than three years ago (about 10x a year).
Source: a16z, LLMflation
AI development and testing for funded startups and growing companies, worldwide
Build AI that runs real work,not just better demos.
What is your AI spend returning? We find the work where AI pays back, build and run it, and prove it on your own data in ten business days.
Production AI inHealthcareFintechInsuranceAutomotiveMediaAgTech
Where to start
What do you need?
Automate a workflow
One process that eats hours, run end to end, with people on the exceptions.
Build an AI product
Your idea as a working system on real data, with the evals to ship it.
Test an existing system
Find where it breaks before customers do, including code AI wrote.
Not sure where AI pays back? Score your readiness first
LLM applicationsAgentic workflowsManaged AI workflowsRAG and searchComputer visionVoice and speechEvals and guardrailsMLOpsData engineeringFull-stack productTraining data operationsModel fine-tuning
The shift, in numbers
Industry numbers, not ours. The question is no longer 'can AI do this?' but 'can it run, reliably, for less than the old way?'
1,000,000+tokens
a frontier model can read at once, up from a few thousand in 2020.
Source: Google Gemini
40%
of agentic AI projects will be canceled by 2027, for want of an operating model, not a smarter one.
Source: Gartner
Selected work
Production AI in fintech, insurance, healthcare and beyond.
Instant biometric onboarding
Two days of onboarding, done in eight minutes. Offline.
Needs-based advisory engine
A compliant advisory session, automated end to end.
Facebot, AI with a human face
A persona customers actually talk to.
Predictive sales analytics
Forecasts the revenue team believed.
FRIDAI, voice assistant for gamers
Hands-free help at play speed.
Movement intelligence
Smart athletic wear plus camera-based physio: injury risk and form, live.
Grain classification
Lab-grade grain QC from one photo.
Skin analysis and advisory
Selfie in, skin age out, advice in under a minute.
An AI newsroom, a voice interviewer, care matching, and more.
The newest work is the quietest. All case studies →
What we do
Build. Run. Prove.
01
Build AI products
Assistants that talk, systems that see, features people use.
- LLM apps
- Voice and vision
- Copilots
Run the work
Run in production, measured on accuracy and cost per outcome.
- Managed AI workflows
- Document handling
- Human review
Prove the work
Accuracy as a number, on your own data, with an audit trail.
- Human-in-the-loop
- Accuracy you can see
- Security first
How we run the work
Our products
Three products, one discipline: prove it before you trust it.
everylayer
Proof for AI-written code
An evidence gate on every pull request, for code AI wrote.
Explore Managed AI workflowsAI that does the work, operated
Back-office work we build and run, measured on accuracy and cost per task.
Explore OptimizationTest the plan before you pay for it
Big plans, public or private, tested on a model of the real system first.
ExploreHow we deliver
Most AI pilots stall. Ours ship.
In ten business days
Proof Sprint
Working on your real cases, with a go or no-go.
In thirty
Supervised production pilot
Live in production, under human supervision.
At sixty
Managed AI workflow
Proven on the numbers, and run by us.
AI where it works. Humans where it matters. Compliance everywhere.
Trial
Apply for a trialTry a managed AI workflow on your real task.
Qualified teams get 24 hours, hands on, with one of your workflows.
Use cases
The problems funded teams bring us.
Agentic customer operations
Managed AI workflows for the back office
Document intelligence at scale
Enterprise RAG and knowledge
Voice agents
AI copilots in your product
Autonomous content pipelines
Vision systems in the field
Fine-tuning, evals, guardrails
What clients say
I can always trust Extend Future for any complex technical problem. They come out with an innovative solution in record time. Just amazing.
The team at Extend Future is very professional and are the experts in their fields. Thanks to their experience, we were able to hit the ground running and ship the product quicker.
Fast, with a unique consultative approach to provide the most appropriate solutions and results. Great to partner with Extend Future.
Professional and responsible. Candidly explained and built an application to solve our business problem using AI.
FAQ
Questions serious teams ask.
What does extendfuture do?
extendfuture is an AI agency and AI consulting partner working with clients worldwide. We build AI products, run managed AI workflows that do real work, automate business processes, and run human-in-the-loop operations where full automation is not accurate enough.
Can you build agentic AI or run managed AI workflows for my company?
Yes. We design, deploy and operate teams of AI agents for real workflows: customer support, research, document processing, sales and back-office operations, onboarded like staff and measured like staff. We work model-agnostic across Claude, GPT, Gemini and open-weight models, always with evals, monitoring, guardrails and human escalation built in.
How do you get AI accurate enough for production?
Three layers: evaluation suites that measure accuracy as a number, guardrails and monitoring in the serving path, and trained human reviewers who close the last-mile gap while generating training data that improves the models every week.
How do you keep our data secure?
Security first, from day one: your data stays in your accounts wherever possible, AI systems get the minimum access they need, every action is logged, and personal data is masked before models see it. That same design is built to support India's DPDP Act, GDPR and HIPAA expectations when the audits come.
Who do you typically work with?
Funded startups scaling from $10M toward $100M and beyond, and established enterprises with processes worth automating. We partner deep with a few clients at a time, worldwide.
How do we see results before committing big?
Every service starts with a scoped entry engagement that ends in a working system on your real cases, or an honest recommendation not to build. You judge the result, then decide what happens next.
Our AI pilot stalled. Do you take over existing projects?
Yes. Most AI pilots die between demo and production. We rescue them by adding what is usually missing: evals, guardrails, human escalation, monitoring, and an operating model.
Bring us the problemeveryone says is too hard.
One call. An honest answer on what AI can and cannot do about it.