Raise your model's reasoning ceiling
Reasoning traces and demonstrations authored by domain experts, graded before they shape your model.

Frontier
AI Lab
Leading
Smartphone Maker
Major
Social Platform
Top GenAI
Assistant Maker
Leading
Search Engine
Leading Global
Ecommerce
Frontier
Robotics Studio
Iconic
Smart Eyewear
World-Leading
Creative AI Platform
Premium
Automotive AI
Top-20
US Mortgage Lender
Major
Crypto Trading Platform
Global
Banking-as-a-Service
Emerging
BNPL Fintech
Global
Card Issuer
Tier-1
FinCrime Portfolio
Market Forces
Why demonstration quality is now a model capability question
Demonstration errors don't stay in the training set. They replicate into model reasoning at every inference.
Proof in production
Numbers from programs already in production
Demonstration programs already shaping how production models reason.
≥5%
absolute benchmark uplift on corporate-finance reasoning, with 4-step to 25-step reasoning chains grounded in annual-report tables, charts, and financial statements.
20K+
prompts and expert-authored responses across reasoning, coding, audio, multimodal, and instruction categories with model evaluation, response ranking, and 0% error rate for a world-leading search provider.
40%
effort reduction with 30% knowledge transformation, via instruction-data curation and SFT demonstrations for a global banking and payments platform serving regional banks.
Across the GenAI lifecycle
Expert demonstrations across the training lifecycle
Different model stages demand different demonstration types, authoring profiles, and QA discipline. The wrong demonstrations at the wrong phase don't just fail, they actively mislead.
Phase 01
Pre-training
Pre-training demonstration design sets the taxonomy: what reasoning patterns to teach, what domain concepts to represent, and what output schema makes demonstrations production-ready.
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Pharma clinical trial extraction
We designed a 47-field extraction schema for 200-page FDA submissions with MedDRA coding.
Phase 02
Fine-tuning
Fine-tuning is where SFT demonstrations shape model behavior. Expert authors construct reasoning chains and instruction-response datasets, with multi-layer QA enforcing schema compliance and factual accuracy.
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Payer medical document extraction
We processed 50,000+ medical records across 47 structured fields at 98.2% accuracy.
Phase 03
Post-training
Post-training uses CoT demonstrations to evaluate and refine model reasoning through RLHF cycles. Evaluators grade chain-of-thought outputs for logical validity and domain correctness.
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Autonomous prior authorization agent
We reduced agent runtime from 14 minutes of manual work to 4 minutes with CoT-graded PA logic.
Phase 04
Deployment
Deployed models encounter document types and edge cases not in the original training set. Continuous expert demonstrations keep the model accurate as real-world distribution shifts.
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Mortgage application processing
99.4% field-extraction accuracy on 23-document batches across 40+ document types.
Program Spotlight
Expert SFT demonstrations across STEM domains
Expert-authored demonstrations across physics, chemistry, and medicine in one program.
Client Program
Expert prompt creation and annotation across physics, chemistry, and medicine
Global social media tech company · 100 units per domain · Multi-turn (3+ turns) · Dedicated prompt generators, response authors, and evaluators for each task
300
Expert-authored SFT demonstrations across 3 STEM domains
300
Expert-authored SFT demonstrations across 3 STEM domains
The buyer needed college-level, multi-turn SFT demonstrations across physics, chemistry, and medicine — with each task carried out by a different annotator: a prompt generator, a response generator, and a response evaluator.
Firstsource delivered 300 demonstrations (100 per domain), each with 3+ conversational turns and two generated responses. Every response was scored on accuracy, completeness, clarity, and helpfulness (1 to 5 scale) with step-by-step feedback highlighting strengths and areas for improvement.
Firstsource delivered 300 demonstrations (100 per domain), each with 3+ conversational turns and two generated responses. Every response was scored on accuracy, completeness, clarity, and helpfulness (1 to 5 scale) with step-by-step feedback highlighting strengths and areas for improvement.
Where it applies
Where expert demonstrations drive production outcomes
Where reasoning displaces guessing
AI labs and foundational models
Frontier models that reason across STEM, code, and multilingual domains need expert-authored CoT traces, not recycled synthetic outputs, to clear Arena-style evaluation thresholds.
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Technology
On-device assistants, gesture systems, and spatial computing models ship faster when SFT demonstrations are authored by specialists who understand the hardware, the modality, and the user interaction.
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Robotics
Vision-language-action models won't generalize manipulation or navigation tasks without domain-expert demonstrations grounding language commands to physical actions and sensor inputs.
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Banking and financial services
FinCrime, credit, and compliance models need CFA and FRM-credentialed authors writing multi-step reasoning chains that hold up under audit and regulatory review.
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How we deliver
Expert demonstrations authored once, graded three times
Authored by domain experts, then graded three times before anything trains your model.
Workforce
Hundreds of
domain specialists
PhDs, MDs, engineers, and domain scientists author the demonstrations, not anonymous click-workers, and each specialist is credentialed and calibrated to the client's domain.
Quality Assurance
Multi-layer
verification at every stage
We run expert authoring, an independent reviewer pass, automated schema validation, a factual-accuracy check, and client-gate sign-off before any batch ships.
Platform
Agentic AI studio
built for scale
We orchestrate authoring, QA, and delivery through the Agentic AI Studio platform, with real-time quality dashboards and governance built in.
INSIGHTS
Latest from the Firstsource team
Insights from the field, real operations, real outcomes, and perspectives from the people making it work in live operations.
Contact US
Talk to an SFT lead
Tell us the domain, the reasoning task, and the model stage. A program lead replies inside one business day.
- Talk to a real program lead, not a sales SDR.
- Sample demonstration set returned in 5 to 10 business days.
- Rubric and schema co-design included in scoping.
- NDA before any model or data exchange.





