The idea
Everyone has the same models now. The edge is the operating layer around them, and the proof it works.
proof-first AI: run the work, prove the code
build AI that runs real work,not just better demos.
Everyone has the same models now; the edge is the system around them. We build and run that edge in production, on the numbers, with humans on the calls that matter, proven on your real cases in ten days.
Production AI inHealthcareFintechInsuranceAutomotiveMediaAgTech
LLM applicationsAgentic workflowsdigital workersRAG and searchComputer visionVoice and speechEvals and guardrailsMLOpsData engineeringFull-stack productTraining data operationsModel fine-tuning
ClaudeGPTGeminiLlamaQwenDeepSeekMistralLangGraphModel Context ProtocolRAG pipelinesFine-tuning and LoRAvLLMWeaviatepgvectorWhatsApp BusinessAWS and Vercel
the short version
Idea, plan, proposal.
The plan
We take over one real workflow and run it in production: working on your real cases in ten days, supervised in thirty, proven on the numbers at sixty.
The proposal
A managed AI workflow, measured on accuracy and cost per outcome, humans on the calls that matter. You buy the outcome; we run it.
the shift, in numbers
These are the industry's numbers, not ours. They're why the question moved from 'can AI do this?' to 'can you run it, reliably, at a price that beats the old way?'
~1,000x
cheaper to run the same level of AI capability than three years ago (about 10x a year).
source a16z, LLMflation
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
Torq Labs smart 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
From idea to live product, fast. Assistants that talk, systems that see, features your users actually use.
- LLM apps
- Voice and vision
- Copilots
Run the work
Support queues, claims intake, reconciliation, reporting: run in production, measured on accuracy and cost per outcome, with humans on the exceptions.
- Managed AI workflows
- Digital workers
- Document handling
Prove the work
Every important output leaves evidence: accuracy as a number, humans on the calls that matter, and an audit trail. everylayer proves the code your agents write; the same discipline proves the work we run.
- Human-in-the-loop
- Accuracy you can see
- Security first
Our products
Two products, one discipline: prove it before you trust it.
everylayer
Proof for AI-written code
An evidence gate on every pull request. It scores what your tests actually prove across seven layers plus performance, security and accessibility, writes the missing tests as draft PRs, and blocks unproven AI-written changes before they merge.
Explore digital workersAI that does the work, operated
Support, documents, research and back-office roles onboarded to your tools, measured on accuracy and cost per task, with humans on the calls that matter. We build them and we run them.
ExploreHow we deliver
Most AI pilots stall. Ours ship.
Because we build the whole system, not just the model.
Prove
A working system on your real cases. Not a deck.
Harden
Tested hard, watched live. Quality becomes a score.
Run
Run together. AI does the volume, people make the calls.
AI where it works. Humans where it matters. Compliance everywhere.
Trial
Apply for a trialTry a digital worker on your real task.
Qualified teams get 24 hours, hands on. We stand it up on one of your workflows, you watch it work, no commitment. For serious clients, tell us the task and we will say if it is a fit.
Use cases
The problems funded teams bring us.
Two years ago you could not buy this. One year ago you could not afford to build it. Now it is a scoped engagement.
Agentic customer operations
Agents that resolve tickets end to end. Humans on the edge cases.
digital workers for the back office
Finance ops, scheduling, reporting, research. Onboarded like staff, measured like staff, humans on the exceptions.
Document intelligence at scale
Contracts, claims and reports read in minutes, with audit trails.
Enterprise RAG and knowledge
Answers from your entire corpus that cite their sources.
Voice agents
Interviews, intake and support by phone and WhatsApp.
AI copilots in your product
The feature your roadmap keeps deferring, shipped and adopted.
Autonomous content pipelines
A daily publishing operation without a newsroom. We run one today.
Vision systems in the field
QC, biometrics and defect detection on real-world images.
Fine-tuning, evals, guardrails
Open models tuned on your data. Accuracy as a number.
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, set up digital workers 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 digital workers 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.